Dylan S. Small

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An R package and a study of methods for computing empirical likelihood

Dan Yang, Dylan S. Small, Dan Yang, 2013 .

Disease Diagnosis from Immunoassays with Plate to Plate Variability: A Hierarchical Bayesian Approach

Dylan S. Small, Shane T. Jensen, Oliver A. Entine, 2015 .

Matching methods for observational microarray studies

Dylan S. Small, Elisabetta Manduchi, Ruth Heller, 2009, Bioinform..

Predicting Customer Value Using Clumpiness: From RFM to RFMC

Yao Zhang, Eric T. Bradlow, Dylan S. Small, 2015, Mark. Sci..

Control Function Instrumental Variable Estimation of Nonlinear Causal Effect Models

Dylan S. Small, Zijian Guo, Zijian Guo, 2016, J. Mach. Learn. Res..

A Simple Probabilistic and Point-process Response Model for Predicting Every Spike in Optogenetics

Dylan S. Small, Xi Luo, Vikaas S. Sohal, 2012 .

Retracing Micro-Epidemics of Chagas Disease Using Epicenter Regression

Robert H. Gilman, Joshua B. Plotkin, Dylan S. Small, 2011, PLoS Comput. Biol..

New measures of clumpiness for incidence data

Yao Zhang, Eric T. Bradlow, Dylan S. Small, 2013 .

An Exact Test of Fit for the Gaussian Linear Model Using Optimal Nonbipartite Matching

Dylan S. Small, Samuel D. Pimentel, Paul R. Rosenbaum, 2017, Technometrics.

Using Approximation Algorithms to Build Evidence Factors and Related Designs for Observational Studies

Dylan S. Small, Paul R. Rosenbaum, Bikram Karmakar, 2019, Journal of Computational and Graphical Statistics.

Handling Missing Data in Instrumental Variable Methods for Causal Inference.

Michael J. Daniels, Dylan S. Small, Edward H. Kennedy, 2019, Annual review of statistics and its application.

Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization

Dylan S. Small, Anru R. Zhang, Anru Zhang, 2014, 1401.5755.

Paradoxes in instrumental variable studies with missing data and one-sided noncompliance

Dylan S. Small, Edward H. Kennedy, 2017, 1705.00506.

HIDDEN MARKOV MODELS FOR ALCOHOLISM TREATMENT TRIAL DATA

Dylan S. Small, Kenneth E. Shirley, Kevin G. Lynch, 2010, 1010.1410.

The Effects of City Streets on an Urban Disease Vector

Dylan S. Small, Michael Z. Levy, Karthik Sethuraman, 2013, PLoS Comput. Biol..

Two robust tools for inference about causal effects with invalid instruments

Dylan S. Small, T. Tony Cai, Youjin Lee, 2020, Biometrics.

Cross-Screening in Observational Studies That Test Many Hypotheses

Dylan S. Small, Paul R. Rosenbaum, Qingyuan Zhao, 2017, Journal of the American Statistical Association.

Robust causal inference with continuous instruments using the local instrumental variable curve

Dylan S. Small, Edward H. Kennedy, Scott A. Lorch, 2016, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Clustered Treatment Assignments and Sensitivity to Unmeasured Biases in Observational Studies

Dylan S. Small, Paul R. Rosenbaum, Ben B. Hansen, 2014 .

Mapping the spatial distribution of a disease‐transmitting insect in the presence of surveillance error and missing data

Dylan S. Small, Michael Z. Levy, Corentin M. Barbu, 2015 .

Testing endogeneity with high dimensional covariates

Dylan S. Small, T. Tony Cai, Hyunseung Kang, 2016, Journal of Econometrics.

Comment: The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation

Dylan S. Small, Kai Zhang, 2009 .

Increasing Power for Observational Studies of Aberrant Response: An Adaptive Approach

Dylan S. Small, Hyunseung Kang, Colin B. Fogarty, 2019 .

Randomization-based Test for Censored Outcomes: A New Look at the Logrank Test

Dylan S. Small, Xinran Li, 2021 .

Combining Broad and Narrow Case Definitions in Matched Case-Control Studies

Dylan S. Small, Ting Ye, 2021 .

On the robustness and precision of mixed-model analysis of covariance in cluster-randomized trials

Dylan S. Small, Fan Li, Tim P. Morris, 2021, 2112.00832.

ivmodel: An R Package for Inference and Sensitivity Analysis of Instrumental Variables Models with One Endogenous Variable

Dylan S. Small, Qingyuan Zhao, Hyunseung Kang, 2020, Observational Studies.

Selective inference for effect modification via the lasso

Dylan S. Small, Ashkan Ertefaie, Qingyuan Zhao, 2017, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Exact tests for the rasch model via sequential importance sampling

Dylan S. Small, Yuguo Chen, Yuguo Chen, 2005 .

A Stochastic Monotonicity Assumption for the Instrumental Variables Method

Zhiqiang Tan, Dylan S. Small, Z. Tan, 2022 .

Analysis of Urban Vibrancy and Safety in Philadelphia

Dylan S. Small, Shane T. Jensen, Colman Humphrey, 2017 .

Defining the Study Population for an Observational Study to Ensure Sufficient Overlap: A Tree Approach

Dylan S. Small, Mikhail Traskin, M. Traskin, 2011 .

Near/far matching: a study design approach to instrumental variables

Dylan S. Small, Lin Yang, Daniel Polsky, 2012, Health Services and Outcomes Research Methodology.

Discovering Effect Modification and Randomization Inference in Air Pollution Studies

Dylan S. Small, Kwonsang Lee, Francesca Dominici, 2018, 1802.06710.

Marginal regression analysis of longitudinal data with time‐dependent covariates: a generalized method‐of‐moments approach

Dylan S. Small, Tze Leung Lai, T. Lai, 2007 .

Mediation Analysis Without Sequential Ignorability: Using Baseline Covariates Interacted with Random Assignment as Instrumental Variables

Dylan S. Small, 2011, 1109.1070.

DOUBLY ROBUST INSTRUMENTAL VARIABLE REGRESSION

James M. Robins, Zhiqiang Tan, Dylan S. Small, 2012 .

Discussion of “Dynamic treatment regimes: Technical challenges and applications”

Dylan S. Small, J. Hsu, Jesse Y. Hsu, 2014 .

Discrete Optimization for Interpretable Study Populations and Randomization Inference in an Observational Study of Severe Sepsis Mortality

Dylan S. Small, Colin B. Fogarty, Mark E. Mikkelsen, 2014, 1411.4873.

Robust confidence intervals for causal effects with possibly invalid instruments

Dylan S. Small, Hyunseung Kang, T. T. Cai, 2015 .

Nonparametric maximum likelihood estimation under a likelihood ratio order

Dylan S. Small, Ted Westling, T. Westling, 2019, 1904.12321.

Stronger instruments via integer programming in an observational study of late preterm birth outcomes

Dylan S. Small, Paul R. Rosenbaum, Jos'e R. Zubizarreta, 2013, 1304.4066.

Randomization Inference and Sensitivity Analysis for Composite Null Hypotheses With Binary Outcomes in Matched Observational Studies

Dylan S. Small, Colin B. Fogarty, Pixu Shi, 2017 .

Bayesian Testing of Many Hypotheses × Many Genes: A Study of Sleep Apnea

Dylan S. Small, Shane T. Jensen, Ibrahim Erkan, 2009 .

Dissonant Conclusions When Testing the Validity of an Instrumental Variable

Fan Yang, Dylan S. Small, Paul R. Rosenbaum, 2014 .

Effect Modification and Design Sensitivity in Observational Studies

Dylan S. Small, Paul R. Rosenbaum, P. Rosenbaum, 2013 .

Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap

Dylan S. Small, Bhaswar B. Bhattacharya, Qingyuan Zhao, 2017, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Two-Sample Instrumental Variable Analyses Using Heterogeneous Samples

Jingshu Wang, Jack Bowden, Dylan S. Small, 2017, Statistical Science.

Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants

Dylan S. Small, Paul R. Rosenbaum, Mike Baiocchi, 2010 .

The Differential Impact of Delivery Hospital on the Outcomes of Premature Infants

Dylan S. Small, Michael Baiocchi, Scott A. Lorch, 2012, Pediatrics.

Full Matching Approach to Instrumental Variables Estimation with Application to the Effect of Malaria on Stunting

Dylan S. Small, Hyunseung Kang, Benno Kreuels, 2014, 1411.7342.

Post-Acute Care Use and Hospital Readmission after Sepsis.

Dylan S. Small, Craig A. Umscheid, Scott D. Halpern, 2015, Annals of the American Thoracic Society.

Comment: Will Competition-Winning Methods for Causal Inference Also Succeed in Practice?

Dylan S. Small, Qingyuan Zhao, Luke Keele, 2019, Statistical Science.

Effect of a Game-Based Intervention Designed to Enhance Social Incentives to Increase Physical Activity Among Families: The BE FIT Randomized Clinical Trial

Dylan S. Small, Jingsan Zhu, Caroline S. Fox, 2017, JAMA internal medicine.

Randomization‐based instrumental variables methods for binary outcomes with an application to the ‘IMPROVE’ trial

Dylan S. Small, Richard Grieve, Luke Keele, 2017 .

Effect of an Automated Patient Dashboard Using Active Choice and Peer Comparison Performance Feedback to Physicians on Statin Prescribing

Dylan S. Small, Kevin G. Volpp, Susan C. Day, 2018, JAMA network open.

Education Outcomes in a Duty‐Hour Flexibility Trial in Internal Medicine

David W. Bates, Dylan S. Small, Mathias Basner, 2018, The New England journal of medicine.

Robust Inferences from a Before-and-After Study with Multiple Unaffected Control Groups

Dylan S. Small, Mikhail Traskin, M. Traskin, 2013 .

Equivalence testing for functional data with an application to comparing pulmonary function devices

Dylan S. Small, Colin B. Fogarty, D. Small, 2014, 1407.5079.

A Note on Posttreatment Selection in Studying Racial Discrimination in Policing

Dylan S. Small, QINGYUAN ZHAO, LUKE J KEELE, 2020, American Political Science Review.

Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score

Dylan S. Small, Qingyuan Zhao, D. Small, 2018, The Annals of Statistics.

Powerful three-sample genome-wide design and robust statistical inference in summary-data Mendelian randomization.

Dylan S. Small, Qingyuan Zhao, D. Small, 2019, International journal of epidemiology.

INFERENCE IN TWO-SAMPLE SUMMARY-DATA MENDELIAN RANDOMIZATION USING ROBUST ADJUSTED PROFILE SCORE By

Jack, Dylan S. Small, Qingyuan Zhao, 2019 .

Powerful genome-wide design and robust statistical inference in two-sample summary-data Mendelian randomization

Dylan S. Small, Qingyuan Zhao, D. Small, 2018, 1804.07371.

A simple and robust confidence interval for causal effects with possibly invalid instruments

Dylan S. Small, T. T. Cai, D. Small, 2015, 1504.03718.

A review of instrumental variable estimators for Mendelian randomization

Dylan S. Small, Dylan S Small, Stephen Burgess, 2015, Statistical methods in medical research.

Sensitivity Analysis for Instrumental Variables Regression With Overidentifying Restrictions

Dylan S. Small, Dylan S Small, D. Small, 2007 .

Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments

Nancy R. Zhang, Dylan S. Small, Qingyuan Zhao, 2020, bioRxiv.

The role of lipoprotein subfractions in coronary artery disease: A Mendelian randomization study

Nancy R. Zhang, Dylan S. Small, Qingyuan Zhao, 2019, bioRxiv.

A randomized trial of nighttime physician staffing in an intensive care unit.

Dylan S. Small, S. Halpern, M. Harhay, 2013, The New England journal of medicine.

ERROR-FREE MILESTONES IN ERROR PRONE MEASUREMENTS.

Dylan S. Small, Dylan S Small, Paul R Rosenbaum, 2009, The annals of applied statistics.

Low Health Literacy Predicts Misperceptions of Diabetes Control in Patients With Persistently Elevated A1C

Dylan S. Small, Judith A. Long, H. Glick, 2015, The Diabetes educator.

Measuring and Analyzing Length of Stay in Critical Care Trials

Dylan S. Small, D. Small, S. Ratcliffe, 2019, Medical care.

Outcomes and statistical power in adult critical care randomized trials.

Dylan S. Small, D. Small, S. Ratcliffe, 2014, American journal of respiratory and critical care medicine.

Assessing the effects of maternal HIV infection on pregnancy outcomes using cross-sectional data in Malawi

Dylan S. Small, D. Small, S. Manda, 2020, BMC Public Health.

Assessing the Effects of Maternal HIV Infection on Child Birth Weight and Knowledge of HIV status on Breastfeeding using Observational Data in Malawi

Dylan S. Small, D. Small, S. Manda, 2020 .

Automated Analysis of Low-Field Brain MRI in Cerebral Malaria

Dylan S. Small, Jordan D Dworkin, Jennifer M. Nicholas, 2020, bioRxiv.

Amount of Brain Edema Correlates With Neurologic Recovery in Pediatric Cerebral Malaria

Dylan S. Small, G. Birbeck, T. Taylor, 2020, The Pediatric infectious disease journal.

Evidence from a natural experiment that malaria parasitemia is pathogenic in retinopathy-negative cerebral malaria

Dylan S. Small, Ian J. C. MacCormick, T. Taylor, 2017, eLife.

Estimation of causal effects using instrumental variables with nonignorable missing covariates: Application to effect of type of delivery NICU on premature infants

Dylan S. Small, D. Small, S. Lorch, 2014, 1404.2477.

Randomization-Based Test for Censored Outcomes: A New Look at the Logrank Test

Dylan S. Small, D. Small, Xinran Li, 2021, Statistical Science.

Risk maps for cities: Incorporating streets into geostatistical models.

Dylan S. Small, M. Levy, R. Castillo-Neyra, 2018, Spatial and spatio-temporal epidemiology.

Increasing participation in a vector control campaign: a cluster randomised controlled evaluation of behavioural economic interventions in Peru

Dylan S. Small, D. Small, K. Volpp, 2018, BMJ Global Health.

Randomization inference for cluster-randomized test-negative designs with application to Dengue studies: Unbiased estimation, partial compliance, and stepped-wedge design

Dylan S. Small, N. Jewell, S. Dufault, 2022, The Annals of Applied Statistics.

Is participation contagious? Evidence from a household vector control campaign in urban Peru

Dylan S. Small, Dylan S Small, Valerie Paz-Soldan, 2013, Journal of Epidemiology & Community Health.

The causal effect of malaria on stunting: a Mendelian randomization and matching approach.

Dylan S. Small, Dylan S Small, Hyunseung Kang, 2013, International journal of epidemiology.

The use of bootstrapping when using propensity-score matching without replacement: a simulation study

Dylan S. Small, Dylan S Small, Peter C Austin, 2014, Statistics in medicine.

Estimating Malaria Vaccine Efficacy in the Absence of a Gold Standard Case Definition: Mendelian Factorial Design

Dylan S. Small, D. Small, Raiden Hasegawa, 2019, Journal of the American Statistical Association.

Simultaneous sensitivity analysis for observational studies using full matching or matching with multiple controls

Dylan S. Small, P. Rosenbaum, J. Gastwirth, 2009 .

RobustIV and controlfunctionIV: Causal Inference for Linear and Nonlinear Models with Invalid Instrumental Variables

Dylan S. Small, D. Small, Youjin Lee, 2023, 2301.04412.

Patient Safety Outcomes under Flexible and Standard Resident Duty‐Hour Rules

Dylan S. Small, David M. Shade, D. Asch, 2019, The New England journal of medicine.

Integrating the evidence from evidence factors in observational studies

Dylan S. Small, D. Small, B. French, 2019, Biometrika.

Assessment of the extent of corroboration of an elaborate theory of a causal hypothesis using partial conjunctions of evidence factors

Dylan S. Small, D. Small, B. Karmakar, 2020 .

EVIDENCE FACTORS IN A CASE-CONTROL STUDY WITH APPLICATION TO THE EFFECT OF FLEXIBLE SIGMOIDOSCOPY SCREENING ON COLORECTAL CANCER.

Dylan S. Small, D. Small, Chyke A Doubeni, 2020, The annals of applied statistics.

Use of Individual-level Covariates to Improve Latent Class Analysis of Trypanosoma cruzi Diagnostic Tests

Dylan S. Small, D. Small, R. Gilman, 2012, Epidemiologic methods.

Effect of Financial Incentives on Glucose Monitoring Adherence and Glycemic Control Among Adolescents and Young Adults With Type 1 Diabetes: A Randomized Clinical Trial

Dylan S. Small, Victoria A. Miller, Charlene A. Wong, 2017, JAMA pediatrics.

Perils and prospects of using aggregate area level socioeconomic information as a proxy for individual level socioeconomic confounders in instrumental variables regression

Dylan S. Small, S. Lorch, J. Hsu, 2012, Health Services and Outcomes Research Methodology.

Non‐parametric methods for doubly robust estimation of continuous treatment effects

Edward H Kennedy, Dylan S. Small, Dylan S Small, 2015, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Association of a Novel Index of Hospital Capacity Strain with Admission to Intensive Care Units.

Dylan S. Small, G. Escobar, V. Liu, 2020, Annals of the American Thoracic Society.

Predicting the Direction of Causal Effect Based on an Instrumental Variable Analysis: A Cautionary Tale

Dylan S. Small, D. Small, S. Burgess, 2016 .

A Mendelian randomization study of the role of lipoprotein subfractions in coronary artery disease

Nancy R. Zhang, Dylan S. Small, Qingyuan Zhao, 2019, eLife.

Commentary: Interpretation and sensitivity analysis for the localized average causal effect curve.

Dylan S. Small, Dylan S Small, 2014, Epidemiology.

Monotone B-Spline Smoothing for a Generalized Linear Model Response

Dylan S. Small, D. Small, Wei Wang, 2015 .

Instrumental Variable Estimation with a Stochastic Monotonicity Assumption

Dylan S. Small, Roland R. Ramsahai, Z. Tan, 2017 .

A Sensitivity Analysis to Assess Bias Due to Selecting Subjects Based on Treatment Received.

Dylan S. Small, Ashkan Ertefaie, James Flory, 2015, Epidemiology.

R-Estimates vs. GMM: A Theoretical Case Study of Validity and Efficiency

Dylan S. Small, P. Rosenbaum, J. Gastwirth, 2006, math/0701087.

Causal Effect of Maternal HIV on Child Health Outcomes in the Context of Prevention of Mother to Child HIV Transmission (PMTCT) in Malawi

Dylan S. Small, D. Small, S. Manda, 2019 .

Asthma Numeracy Skill and Health Literacy

Dylan S. Small, Maureen George, Dylan Small, 2006, The Journal of asthma : official journal of the Association for the Care of Asthma.

Efficient nonparametric estimation of causal effects in randomized trials with noncompliance

Dylan S. Small, Z. Tan, D. Small, 2009 .

Evaluating the impact of the laborist model of obstetric care on maternal and neonatal outcomes.

Dylan S. Small, S. Lorch, S. Srinivas, 2016, American journal of obstetrics and gynecology.

Neighborhood Social Environment and Patterns of Adherence to Oral Hypoglycemic Agents Among Patients With Type 2 Diabetes Mellitus

Dylan S. Small, H. Bogner, D. Wiebe, 2015, Family & community health.

Study protocol for a type III hybrid effectiveness-implementation trial of strategies to implement firearm safety promotion as a universal suicide prevention strategy in pediatric primary care

Dylan S. Small, Nathaniel J. Williams, A. Beck, 2021, Implementation Science.

A Differential Effect Approach to Partial Identification of Treatment Effects

Dylan S. Small, Bingkai Wang, Kan Chen, 2023, 2303.06332.

A test for differential ascertainment in case‐control studies with application to child maltreatment

Dylan S. Small, Matteo Sordello, 2019, Statistics in medicine.

Effect of Default Options in Advance Directives on Hospital-Free Days and Care Choices Among Seriously Ill Patients: A Randomized Clinical Trial.

Dylan S. Small, D. Angus, G. Loewenstein, 2020, JAMA network open.

Default options in advance directives: study protocol for a randomised clinical trial

Dylan S. Small, D. Angus, G. Loewenstein, 2016, BMJ Open.

Rationale and Design of the Randomized Evaluation of Default Access to Palliative Services (REDAPS) Trial.

Dylan S. Small, G. Escobar, A. Troxel, 2016, Annals of the American Thoracic Society.

The Effect of Winning an Oscar Award on Survival: Correcting for Healthy Performer Survivor Bias With a Rank Preserving Structural Accelerated Failure Time Model

Dylan S. Small, Dean Phillips Foster, Xu Han, 2011, 1108.0822.

Epidemiology and outcomes in patients with severe sepsis admitted to the hospital wards.

Dylan S. Small, S. Bellamy, M. Mikkelsen, 2015, Journal of critical care.

Association of Hospital Participation in a Medicare Bundled Payment Program With Volume and Case Mix of Lower Extremity Joint Replacement Episodes

Dylan S. Small, E. Emanuel, A. Navathe, 2018, JAMA.

Sensitivity Analysis for Multiple Comparisons in Matched Observational Studies Through Quadratically Constrained Linear Programming

Dylan S. Small, Colin B. Fogarty, D. Small, 2015, 1505.03810.

Randomization inference for the trimmed mean of effects attributable to treatment

Dylan S. Small, D. Small, Yuguo Chen, 2014 .

Teaching Hospital Five-Year Mortality Trends in the Wake of Duty Hour Reforms

Dylan S. Small, K. Itani, J. Silber, 2013, Journal of General Internal Medicine.

Loss‐Framed Financial Incentives and Personalized Goal‐Setting to Increase Physical Activity Among Ischemic Heart Disease Patients Using Wearable Devices: The ACTIVE REWARD Randomized Trial

Dylan S. Small, Yoonhee P. Ha, D. Small, 2018, Journal of the American Heart Association.

The impact of obstetric unit closures on maternal and infant pregnancy outcomes.

Dylan S. Small, S. Lorch, S. Srinivas, 2013, Health services research.

Instrumental Variables: to Strengthen or not to Strengthen?

Dylan S. Small, S. Lorch, Xu Han, 2019 .

Re-Evaluating Strengthened-IV Designs: Asymptotic Efficiency, Bias Formula, and the Validity and Power of Sensitivity Analyses

Dylan S. Small, D. Small, S. Lorch, 2019, 1911.09171.

Hospital Readmission and Post-Acute Care Use After Intensive Care Unit Admissions: New ICU Quality Metrics?

Dylan S. Small, H. Prescott, M. Harhay, 2020, Journal of intensive care medicine.

The Relationship Between Index Hospitalizations, Sepsis, and Death or Transition to Hospice Care During 30-Day Hospital Readmissions

Dylan S. Small, M. Mikkelsen, D. Gaieski, 2017, Medical care.

A Randomized Controlled Trial of Gamification, Financial Incentives, or Both to Increase Physical Activity Among Patients with Elevated Risk for Cardiovascular Disease: Rationale and Design of the BE ACTIVE Study.

Dylan S. Small, K. Volpp, Jingsan Zhu, 2023, American heart journal.

Using Active Choice Within the Electronic Health Record to Increase Influenza Vaccination Rates

Dylan S. Small, K. Volpp, Mitesh S. Patel, 2017, Journal of General Internal Medicine.

Development of the individualised Comparative Effectiveness of Models Optimizing Patient Safety and Resident Education (iCOMPARE) trial: a protocol summary of a national cluster-randomised trial of resident duty hour policies in internal medicine

Dylan S. Small, David M. Shade, D. Bates, 2018, BMJ Open.

Association of the 2011 ACGME resident duty hour reforms with mortality and readmissions among hospitalized Medicare patients.

Dylan S. Small, J. Silber, K. Volpp, 2014, JAMA.

Defining Multimorbidity in Older Surgical Patients

Dylan S. Small, P. Rosenbaum, J. Silber, 2018, Medical care.

The International Journal of Biostatistics Extended Instrumental Variables Estimation for Overall Effects

Dylan S. Small, M. Joffe, H. Feldman, 2011 .

Extended Instrumental Variables Estimation for Overall Effects

Dylan S. Small, D. Small, M. Joffe, 2008, The international journal of biostatistics.

Effect of Goal-Setting Approaches Within a Gamification Intervention to Increase Physical Activity Among Economically Disadvantaged Adults at Elevated Risk for Major Adverse Cardiovascular Events: The ENGAGE Randomized Clinical Trial.

Dylan S. Small, K. Volpp, Mitesh S. Patel, 2021, JAMA cardiology.

Effectiveness of Behaviorally Designed Gamification Interventions With Social Incentives for Increasing Physical Activity Among Overweight and Obese Adults Across the United States: The STEP UP Randomized Clinical Trial.

Dylan S. Small, D. Small, Mitesh S. Patel, 2019, JAMA internal medicine.

A Randomized Trial of Social Comparison Feedback and Financial Incentives to Increase Physical Activity

Dylan S. Small, D. Asch, K. Volpp, 2016, American journal of health promotion : AJHP.

Framing Financial Incentives to Increase Physical Activity Among Overweight and Obese Adults

Dylan S. Small, D. Asch, D. Small, 2016, Annals of Internal Medicine.

Individual Versus Team-Based Financial Incentives to Increase Physical Activity: A Randomized, Controlled Trial

Dylan S. Small, D. Asch, K. Volpp, 2016, Journal of General Internal Medicine.

Ensemble of trees approaches to risk adjustment for evaluating a hospital’s performance

Dylan S. Small, E. George, M. Traskin, 2015, Health care management science.

The information in covariate imbalance in studies of hormone replacement therapy

Dylan S. Small, P. Rosenbaum, Ruoqi Yu, 2021, The Annals of Applied Statistics.

Sleep and Alertness in a Duty‐Hour Flexibility Trial in Internal Medicine

Dylan S. Small, David M. Shade, Adrian J. Ecker, 2019, The New England journal of medicine.

Effect of a Price Transparency Intervention in the Electronic Health Record on Clinician Ordering of Inpatient Laboratory Tests: The PRICE Randomized Clinical Trial

Dylan S. Small, Dylan S Small, Jennifer S Myers, 2017, JAMA internal medicine.

Assessing the Effects of the 2003 Resident Duty Hours Reform on Internal Medicine Board Scores

Dylan S. Small, K. Itani, J. Silber, 2014, Academic medicine : journal of the Association of American Medical Colleges.

Effect of a protected sleep period on hours slept during extended overnight in-hospital duty hours among medical interns: a randomized trial.

Dylan S. Small, Adrian J. Ecker, K. Volpp, 2012, JAMA.

Comparing Smoking Cessation Interventions among Underserved Patients Referred for Lung Cancer Screening: A Pragmatic Trial Protocol.

Dylan S. Small, L. Epstein, K. Volpp, 2021, Annals of the American Thoracic Society.

Using Evidence Factors to Clarify Exposure Biomarkers.

Dylan S. Small, P. Rosenbaum, D. Small, 2020, American journal of epidemiology.

On the mixed-model analysis of covariance in cluster-randomized trials

Dylan S. Small, Fan Li, M. Harhay, 2021, 2112.00832.

Heterogeneity in the Effects of Reward- and Deposit-based Financial Incentives on Smoking Cessation.

Dylan S. Small, Dylan S Small, Kevin G Volpp, 2016, American journal of respiratory and critical care medicine.

Effect of Integrating Machine Learning Mortality Estimates With Behavioral Nudges to Clinicians on Serious Illness Conversations Among Patients With Cancer

Dylan S. Small, S. H. Regli, Ravi B. Parikh, 2020, JAMA oncology.

Remotely Monitored Gamification and Social Incentives to Improve Glycemic Control Among Adults With Uncontrolled Type 2 Diabetes (iDiabetes): Protocol for a Randomized Controlled Trial

Dylan S. Small, D. Small, Mitesh S. Patel, 2019, JMIR research protocols.

Remotely Monitored Gamification and Social Incentives to Improve Glycemic Control Among Adults With Uncontrolled Type 2 Diabetes (iDiabetes): Protocol for a Randomized Controlled Trial (Preprint)

Dylan S. Small, D. Small, Mitesh S. Patel, 2019 .

Confidence intervals for causal effects with invalid instruments by using two‐stage hard thresholding with voting

Dylan S. Small, D. Small, T. Tony Cai, 2016, 1603.05224.

Randomized trial of four financial-incentive programs for smoking cessation.

Dylan S. Small, T. Brennan, D. Asch, 2015, The New England journal of medicine.

Statistical inference in dynamic panel data models

Dylan S. Small, T. Lai, D. Small, 2008 .

Discovering Heterogeneous Exposure Effects Using Randomization Inference in Air Pollution Studies

Dylan S. Small, F. Dominici, Kwonsang Lee, 2021, Journal of the American Statistical Association.

A calibrated sensitivity analysis for matched observational studies with application to the effect of second‐hand smoke exposure on blood lead levels in children

Dylan S. Small, Bo Zhang, Dylan Small, 2018, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Associations between the organisation of stroke services, process of care, and mortality in England: prospective cohort study

Dylan S. Small, D. Small, C. Wolfe, 2013, BMJ.

Instrumental Variables Methods

Dylan S. Small, D. Small, M. Baiocchi, 2017 .

Instrumental variable methods for causal inference

Dylan S. Small, D. Small, M. Baiocchi, 2014, Statistics in medicine.

Social distancing and COVID-19: Randomization inference for a structured dose-response relationship

Dylan S. Small, T. Ye, Bo Zhang, 2020, The Annals of Applied Statistics.

The role of outpatient facilities in explaining variations in risk-adjusted readmission rates between hospitals.

Dylan S. Small, G. Escobar, J. Silber, 2010, Health services research.

Association of Primary Care Clinic Appointment Time With Clinician Ordering and Patient Completion of Breast and Colorectal Cancer Screening

Dylan S. Small, Shivan J. Mehta, Mitesh S. Patel, 2019, JAMA network open.

Variations in Influenza Vaccination by Clinic Appointment Time and an Active Choice Intervention in the Electronic Health Record to Increase Influenza Vaccination

Dylan S. Small, Mitesh S. Patel, Charles Rareshide, 2018, JAMA network open.

Dose-Escalated Irradiation and Overall Survival in Men With Nonmetastatic Prostate Cancer.

Dylan S. Small, Dylan S Small, Nandita Mitra, 2015, JAMA oncology.

Book review of “ Observation and Experiment : An Introduction to Causal Inference ” by

Dylan S. Small, 2017 .

Sleep and Alertness in Medical Interns and Residents: An Observational Study on the Role of Extended Shifts

Dylan S. Small, Adrian J. Ecker, K. Volpp, 2017, Sleep.

The association between adolescent football participation and early adulthood depression

Dylan S. Small, Sameer K. Deshpande, Raiden Hasegawa, 2020, PloS one.

Calibrating Sensitivity Analyses to Observed Covariates in Observational Studies

Dylan S. Small, D. Small, Jc Hsu, 2013, Biometrics.

Protocol for an observational study on the effects of playing football in adolescence on mental health in early adulthood

Dylan S. Small, Sameer K. Deshpande, D. Small, 2018, 1808.03934.

Association of Playing High School Football With Cognition and Mental Health Later in Life

Dylan S. Small, Sameer K. Deshpande, J. Karlawish, 2017, JAMA neurology.

Change In Length of Stay and Readmissions among Hospitalized Medical Patients after Inpatient Medicine Service Adoption of Mobile Secure Text Messaging

Dylan S. Small, D. Asch, D. Small, 2016, Journal of General Internal Medicine.

Length of stay and readmission among late preterm infants: an instrumental variable approach.

Dylan S. Small, Dylan S Small, D. Small, 2013, Hospital pediatrics.

Hospitals with higher nurse staffing had lower odds of readmissions penalties than hospitals with lower staffing.

Dylan S. Small, Dylan S Small, Matthew D. McHugh, 2013, Health affairs.

Using Medicare claims in identifying Alzheimer's disease and related dementias

Dylan S. Small, P. Rosenbaum, J. Silber, 2020, Alzheimer's & dementia : the journal of the Alzheimer's Association.

Spending And Quality After Three Years Of Medicare's Voluntary Bundled Payment For Joint Replacement Surgery.

Dylan S. Small, E. Emanuel, A. Navathe, 2019, Health affairs.

Bayesian analysis of deterministic and stochastic prisoner’s dilemma games

Eric T. Bradlow, Dylan S. Small, D. Small, 2009, Judgment and Decision Making.

Deterministic and Stochastic Prisoner&Apos;S Dilemma Games: Experiments in Interdependent Security

Eric T. Bradlow, Dylan S. Small, Howard Kunreuther, 2007 .

Introduction to Observational Studies and the Reprint of Cochran’s paper “Observational Studies” and Comments

Dylan S. Small, 2021 .

Using Default Options Within the Electronic Health Record to Increase the Prescribing of Generic-Equivalent Medications

Dylan S. Small, Dylan Small, Kevin Volpp, 2014, Annals of Internal Medicine.

Impact of Community Wealth on Use of Cardiac-Resynchronization Therapy With Defibrillators for Heart Failure Patients

Dylan S. Small, Yongfei Wang, P. Groeneveld, 2012, Circulation. Cardiovascular quality and outcomes.

Evaluating Missouri’s Handgun Purchaser Law: A Bracketing Method for Addressing Concerns About History Interacting with Group

Dylan S. Small, D. Small, D. Webster, 2019, Epidemiology.

Bracketing in the Comparative Interrupted Time-Series Design to Address Concerns about History Interacting with Group: Evaluating Missouri Handgun Purchaser Law.

Dylan S. Small, D. Small, D. Webster, 2019, 1904.11430.

Possible Incremental Benefits of Specialized Rehabilitation Bed Units Among Veterans After Lower Extremity Amputation

Dylan S. Small, M. Stineman, W. B. Vogel, 2009, Medical care.

Controlling for Unmeasured Confounding in the Presence of Time: Instrumental Variable for Trend

Dylan S. Small, Ashkan Ertefaie, S. Hennessy, 2020 .

Nonparametric Inference for Distributional Treatment Effects in Instrumental Variable Models

Dylan S. Small, J. Qin, B. Bhattacharya, 2016, 1605.03868.

Semiparametric causal inference in matched cohort studies

Dylan S. Small, Edward H. Kennedy, A. Sjölander, 2015 .

On Interactions Between Observed and Unobserved Covariates in Matched Observational Studies

Dylan S. Small, Siyu Heng, 2020 .

Social Incentives and Gamification to Promote Weight Loss: The LOSE IT Randomized, Controlled Trial

Dylan S. Small, Mitesh S. Patel, Jingsan Zhu, 2018, Journal of General Internal Medicine.

Instrumental variables: Don't throw the baby out with the bathwater.

Dylan S. Small, D. Small, L. Keele, 2019, Health services research.

Instrumented difference‐in‐differences

Dylan S. Small, Ashkan Ertefaie, S. Hennessy, 2020, Biometrics.

Sensitivity analyses for average treatment effects when outcome is censored by death in instrumental variable models

Dylan S. Small, D. Small, S. Lorch, 2018, Statistics in medicine.

Robust estimation and inference for the local instrumental variable curve

Dylan S. Small, Edward H. Kennedy, D. Small, 2016 .

Bias in estimating the causal hazard ratio when using two‐stage instrumental variable methods

Dylan S. Small, N. Mitra, J. Bekelman, 2015, Statistics in medicine.

Correction to “Instrumental variable methods for causal inference”

Dylan S. Small, M. Baiocchi, Jing Cheng, 2014 .

Instrumental Variable Estimation When Compliance is not Deterministic: The Stochastic Monotonicity Assumption

Dylan S. Small, Z. Tan, S. Lorch, 2014, 1407.7308.

Graphical Diagnosis of Confounding Bias in Instrumental Variable Analysis.

Dylan S. Small, Dylan S Small, Qingyuan Zhao, 2018, Epidemiology.

A “placement of death” approach for studies of treatment effects on ICU length of stay

Dylan S. Small, Dylan S Small, Winston T. Lin, 2017, Statistical methods in medical research.

Defining and Estimating Intervention Effects for Groups that will Develop an Auxiliary Outcome

Dylan S. Small, D. Small, M. Joffe, 2006, math/0609457.

CAUSAL INFERENCE FOR CONTINUOUS-TIME PROCESSES WHEN COVARIATES ARE OBSERVED ONLY AT DISCRETE TIMES.

Dylan S. Small, Dylan S Small, Marshall M Joffe, 2011, Annals of statistics.

Urban vibrancy and safety in Philadelphia

Dylan S. Small, Shane T. Jensen, Colman Humphrey, 2017, Environment and Planning B: Urban Analytics and City Science.

The Role of Rest in the NBA Home-Court Advantage

Dylan S. Small, D. Small, Oliver Entine, 2008 .

Association Between Index Hospitalization and Hospital Readmission in Sepsis Survivors*

Dylan S. Small, M. Mikkelsen, G. Netzer, 2016, Critical care medicine.

War and Wages

Dylan S. Small, Dylan S Small, Paul R Rosenbaum, 2008 .

War and Wages : The Strength of Instrumental Variables and Their Sensitivity to Unobserved Biases

Dylan S. Small, P. Rosenbaum, Dylan S. SMALL, 2007 .

Malaria parasite clearance rate regression: an R software package for a Bayesian hierarchical regression model

Dylan S. Small, Colin B. Fogarty, M. Fay, 2019, Malaria Journal.

Evaluating the Effect of Appropriate Complementary Feeding Practices on Child Growth in Malawi Using Cross-Sectional Data: An Application of Propensity Score Matching

Dylan S. Small, S. Manda, H. S. Twabi, 2021, Frontiers in Nutrition.

Association Between Appropriate Complementary Feeding and Anthropometric Measures Among Infants and Young Children in Malawi using Cross-Sectional Data: A Propensity Score Matching Approach

Dylan S. Small, D. Small, S. Manda, 2020 .

Preference-adaptive randomization in comparative effectiveness studies

Dylan S. Small, D. Asch, K. Volpp, 2015, Trials.

Hospitals Known for Nursing Excellence Perform Better on Value Based Purchasing Measures

Dylan S. Small, Matthew D. McHugh, M. McHugh, 2016, Policy, politics & nursing practice.

Association of an Active Choice Intervention in the Electronic Health Record Directed to Medical Assistants With Clinician Ordering and Patient Completion of Breast and Colorectal Cancer Screening Tests

Dylan S. Small, Shivan J. Mehta, Mitesh S. Patel, 2019, JAMA network open.

Predicting changes in glycemic control among adults with prediabetes from activity patterns collected by wearable devices

Dylan S. Small, K. Volpp, Mitesh S. Patel, 2021, npj Digital Medicine.

Smartphones vs Wearable Devices for Remotely Monitoring Physical Activity After Hospital Discharge: A Secondary Analysis of a Randomized Clinical Trial.

Dylan S. Small, Edward H. Kennedy, K. Volpp, 2020, JAMA network open.

Temporal Trends in Incidence, Sepsis-Related Mortality, and Hospital-Based Acute Care After Sepsis

Dylan S. Small, K. Bowles, H. Prescott, 2018, Critical care medicine.

Surface Mining and Low Birth Weight in Central Appalachia.

Dylan S. Small, L. Keele, S. Lorch, 2020, Environmental research.

Number of Healthcare Workers Who Have Died of COVID-19.

Dylan S. Small, Bo Zhang, 2020, Epidemiology.

Teaching hospital financial status and patient outcomes following ACGME duty hour reform.

Dylan S. Small, J. Silber, K. Volpp, 2013, Health services research.

Hospital-Based Acute Care Use in Survivors of Septic Shock*

Dylan S. Small, D. Small, S. Halpern, 2015, Critical care medicine.

Semiparametric models and inference for the effect of a treatment when the outcome is nonnegative with clumping at zero

Dylan S. Small, Jing Cheng, 2020, Biometrics.

12-2014 Isolation in the Construction of Natural Experiments

Dylan S. Small, J. Zubizarreta, R. Rosenbaum, 2014 .

Comparison of msp genotyping and a 24 SNP molecular assay for differentiating Plasmodium falciparum recrudescence from reinfection

Dylan S. Small, J. Skarbinski, T. Taylor, 2019, Malaria Journal.

Isolation in the construction of natural experiments

Dylan S. Small, P. Rosenbaum, D. Small, 2014, 1501.04392.

Multiple Testing When Many p-Values are Uniformly Conservative, with Application to Testing Qualitative Interaction in Educational Interventions

Dylan S. Small, Weijie J. Su, Qingyuan Zhao, 2017, Journal of the American Statistical Association.

Sleep and Alertness Among Interns in Intensive Care Compared to General Medicine Rotations: A Secondary Analysis of the iCOMPARE Trial.

Dylan S. Small, Adrian J. Ecker, D. Bates, 2021, Journal of graduate medical education.

Case Definition and Design Sensitivity

Dylan S. Small, P. Rosenbaum, M. Halloran, 2013, Journal of the American Statistical Association.

Patterns of Adherence to Oral Hypoglycemic Agents and Glucose Control among Primary Care Patients with Type 2 Diabetes

Dylan S. Small, H. Bogner, K. Morales, 2016, Behavioral medicine.

Treating Heavy Drinking in Primary Care Practices: Evaluation of a Telephone-based Intervention Program

Dylan S. Small, D. Oslin, Wei Wang, 2014 .

Neighborhood Racial Composition and Gun Homicides

Dylan S. Small, D. Harding, Wei Wang, 2020, JAMA network open.

The effect of malaria on stunting: an instrumental variables approach.

Dylan S. Small, S. Kariuki, D. Terlouw, 2021, Transactions of the Royal Society of Tropical Medicine and Hygiene.

A Randomized, Controlled Trial of Lottery-Based Financial Incentives to Increase Physical Activity Among Overweight and Obese Adults

Dylan S. Small, Dylan S Small, Kevin G Volpp, 2018, American journal of health promotion : AJHP.

Finding the strength in a weak instrument in a study of cognitive outcomes produced by Catholic high schools

Dylan S. Small, P. Rosenbaum, D. Small, 2020, Journal of the Royal Statistical Society: Series A (Statistics in Society).

Effect of a Default Order vs an Alert in the Electronic Health Record on Hepatitis C Virus Screening Among Hospitalized Patients

Dylan S. Small, Shivan J. Mehta, John D. McGreevey, 2022, JAMA network open.

Hospitals Known for Nursing Excellence Perform Better on Value Based Purchasing Measures.

Dylan S. Small, Matthew D. McHugh, M. McHugh, 2019, The Journal of nursing administration.

Estimating Unhealthy Food Effects on Childhood Overweight in Malawi Using an Observational Study

Dylan S. Small, Samuel O. M. Manda, D. Small, 2022, Maternal and Child Health Journal.

Using active choice within the electronic health record to increase physician ordering and patient completion of high-value cancer screening tests.

Dylan S. Small, D. Small, K. Volpp, 2016, Healthcare.

Randomization inference for stepped-wedge cluster-randomized trials: An application to community-based health insurance

Dylan S. Small, D. Small, G. Fink, 2017 .

A Randomized Trial of a Three-Hour Protected Nap Period in a Medicine Training Program: Sleep, Alertness, and Patient Outcomes

Dylan S. Small, Adrian J. Ecker, K. Volpp, 2014, Academic medicine : journal of the Association of American Medical Colleges.

Relationship between changing malaria burden and low birth weight in sub-Saharan Africa: A difference-in-differences study via a pair-of-pairs approach

Dylan S. Small, Dylan S Small, Ryan A. Simmons, 2020, eLife.

Regression to the Mean's Impact on the Synthetic Control Method: Bias and Sensitivity Analysis

Dylan S. Small, P. Shaw, N. Illenberger, 2019, 1909.04706.

Patterns of Effects and Sensitivity Analysis for Differences-in-Differences

Dylan S. Small, Colin B. Fogarty, L. Keele, 2019, 1901.01869.

An Overview of Geographically Discontinuous Treatment Assignments with an Application to Children’s Health Insurance☆

Dylan S. Small, D. Small, L. Keele, 2017 .

Integrating machine-generated mortality estimates and behavioral nudges to promote serious illness conversations for cancer patients: Design and methods for a stepped-wedge cluster randomized controlled trial.

Dylan S. Small, S. H. Regli, Ravi B. Parikh, 2020, Contemporary clinical trials.

Alzheimer’s Dementia After Exposure to Anesthesia and Surgery in the Elderly

Dylan S. Small, P. Rosenbaum, J. Silber, 2020, Annals of surgery.

Effect of Passive Choice and Active Choice Interventions in the Electronic Health Record to Cardiologists on Statin Prescribing: A Cluster Randomized Clinical Trial.

Dylan S. Small, D. Asch, K. Volpp, 2020, JAMA cardiology.

Efficient estimation of the attributable fraction when there are monotonicity constraints and interactions.

Dylan S. Small, M. Traskin, T. Ten Have, 2013, Biostatistics.

Combining Broad and Narrow Case Definitions in Matched Case-Control Studies: Firearms in the Home and Suicide Risk

Dylan S. Small, T. Ye, 2021, 2105.01124.

Protocol for a Study of the Effect of Surface Mining in Central Appalachia on Adverse Birth Outcomes

Dylan S. Small, D. Small, L. Keele, 2020, 2005.01873.

Modeling lottery incentives for daily adherence

Dylan S. Small, Dylan S Small, Shane T. Jensen, 2019, Statistics in medicine.

Causal Inference With Two Versions of Treatment

Dylan S. Small, Sameer K. Deshpande, P. Rosenbaum, 2017, Journal of Educational and Behavioral Statistics.

Constructed Second Control Groups and Attenuation of Unmeasured Biases

Dylan S. Small, Samuel D. Pimentel, P. Rosenbaum, 2016 .

Staffing and readmissions: the authors reply.

Dylan S. Small, Matthew D. McHugh, J. Berez, 2013, Health affairs.

Using post‐outcome measurement information in censoring‐by‐death problems

Dylan S. Small, D. Small, Fan Yang, 2016 .

Effect of Loss-Framed Financial Incentives and Personalized Goal-Setting on Physical Activity Among Ischemic Heart Disease Patients Using Wearable Devices: The ACTIVE Reward Randomized Clinical Trial

Dylan S. Small, Yoonhee P. Ha, D. Small, 2018 .

Association of the 2011 ACGMEResident Duty Hour Reforms WithMortality and Readmissions AmongHospitalizedMedicare Patients

Dylan S. Small, J. Silber, K. Volpp, 2014 .

Comparing Covariate Prioritization via Matching to Machine Learning Methods for Causal Inference Using Five Empirical Applications

Dylan S. Small, Dylan Small, Luke Keele, 2018, The American Statistician.

Physician practice variation under orthopedic bundled payment.

Dylan S. Small, E. Emanuel, A. Troxel, 2018, The American journal of managed care.

Discovering treatment effect heterogeneity through post‐treatment variables with application to the effect of class size on mathematics scores

Dylan S. Small, Lindsay C. Page, D. Small, 2018 .

Comparative effectiveness of oral diabetes drug combinations in reducing glycosylated hemoglobin.

Dylan S. Small, D. Small, A. Mushlin, 2014, Journal of comparative effectiveness research.

Impact of Regression to the Mean on the Synthetic Control Method: Bias and Sensitivity Analysis.

Dylan S. Small, Nicholas Illenberger, Dylan S Small, 2020, Epidemiology.

Effect of Gamification With and Without Financial Incentives to Increase Physical Activity Among Veterans Classified as Having Obesity or Overweight

Dylan S. Small, Mitesh S. Patel, C. Evans, 2021, JAMA Network Open.

Effect of Behaviorally Designed Gamification With Social Incentives on Lifestyle Modification Among Adults With Uncontrolled Diabetes

Dylan S. Small, D. Small, K. Volpp, 2021, JAMA network open.

Effect of Behaviorally Designed Gamification With a Social Support Partner to Increase Mobility After Hospital Discharge

Dylan S. Small, D. Small, S. Greysen, 2021, JAMA network open.

Framing Social Comparison Feedback With Financial Incentives for Physical Activity Promotion: A Randomized Trial.

Dylan S. Small, D. Asch, K. Volpp, 2020, Journal of physical activity & health.

Mobility and outcomes for validated evidence - Incentive trial (MOVE IT): Randomized clinical trial study protocol.

Dylan S. Small, D. Small, S. Greysen, 2019, Contemporary clinical trials.

Prediction using a randomized evaluation of data collection integrated through connected technologies (PREDICT): Design and rationale of a randomized trial of patients discharged from the hospital to home.

Dylan S. Small, Edward H. Kennedy, D. Small, 2019, Contemporary clinical trials.

Social incentives to encourage physical activity and understand predictors (STEP UP): Design and rationale of a randomized trial among overweight and obese adults across the United States.

Dylan S. Small, D. Small, Mitesh S. Patel, 2019, Contemporary clinical trials.

A general approach to evaluating the bias of 2‐stage instrumental variable estimators

Dylan S. Small, N. Mitra, F. Wan, 2018, Statistics in medicine.

A Negative Correlation Strategy for Bracketing in Difference-in-Differences with Application to the Effect of Voter Identification Laws on Voter Turnout

Dylan S. Small, D. Small, L. Keele, 2020, 2006.02423.

Comparative Effectiveness of Initial Treatment at Trauma Center vs Neurosurgery-Capable Non-Trauma Center for Severe, Isolated Head Injury.

Dylan S. Small, Elinore J. Kaufman, D. Small, 2018, Journal of the American College of Surgeons.

Analysis of the epidemic growth of the early 2019-nCoV outbreak using internationally confirmed cases

Dylan S. Small, Qingyuan Zhao, Yang Chen, 2020, medRxiv.

Near / Far Matching-A Nonparametric Instrumental Variables Technique for Binary Outcomes 1

Dylan S. Small, P. Rosenbaum, D. Small, 2009 .

An assessment of the Francois-Xavier Bagnoud poverty alleviation program in Rwanda and Uganda

Dylan S. Small, M. Harhay, M. S. Fawzi, 2017, International Journal of Public Health.

Model-robust and efficient inference for cluster-randomized experiments

Dylan S. Small, Fan Li, Bingkai Wang, 2022 .

Drug Enforcement Agency 2014 Hydrocodone Rescheduling Rule and Opioid Dispensing after Surgery

Dylan S. Small, H. Wunsch, C. Brensinger, 2020, Anesthesiology.

A Conversation with Tze Leung Lai

Dylan S. Small, Z. Ying, Ying Lu, 2021, Statistical Science.

Constructing a More Closely Matched Control Group in a Difference-in-Differences Analysis: Its Effect on History Interacting with Group Bias

Dylan S. Small, D. Small, Pallavi Basu, 2020, Observational Studies.

Using Split Samples and Evidence Factors in an Observational Study of Neonatal Outcomes

Dylan S. Small, P. Rosenbaum, D. Small, 2011 .

The Trend-in-trend Research Design for Causal Inference

Dylan S. Small, Charles E. Leonard, D. Small, 2017, Epidemiology.

Sharpening the Rosenbaum Sensitivity Bounds to Address Concerns About Interactions Between Observed and Unobserved Covariates

Dylan S. Small, D. Small, S. Heng, 2020, Statistica Sinica.

Selecting and Ranking Individualized Treatment Rules With Unmeasured Confounding

Bo Zhang, Dylan S. Small, Dylan S Small, 2020, Journal of the American Statistical Association.

Effect of Introducing a Default Order in the Electronic Medical Record on Unnecessary Daily Imaging During Palliative Radiotherapy for Adults With Cancer: A Stepped-Wedge Cluster Randomized Clinical Trial.

Dylan S. Small, Mitesh S. Patel, Charles Rareshide, 2019, JAMA oncology.

Impact of protected sleep period for internal medicine interns on overnight call on depression, burnout, and empathy.

Dylan S. Small, D. Small, K. Volpp, 2014, Journal of graduate medical education.

Protocol for an Observational Study on the Effects of Social Distancing on Influenza-Like Illness and COVID-19

Dylan S. Small, T. Ye, M. Levy, 2020, 2004.02944.

Using the Cross-Match Test to Appraise Covariate Balance in Matched Pairs

Dylan S. Small, P. Rosenbaum, R. Heller, 2010 .

Sensitivity Analysis for the Cross-Match Test, With Applications in Genomics

Dylan S. Small, Shane T. Jensen, P. Rosenbaum, 2010 .

A brief adherence intervention that improved glycemic control: mediation by patterns of adherence

Dylan S. Small, H. Bogner, K. Morales, 2015, Journal of Behavioral Medicine.

The Effect Of Clinician Feedback Interventions On Opioid Prescribing.

Dylan S. Small, Victor J. Lei, K. Volpp, 2022, Health affairs.

Evidence factors from multiple, possibly invalid, instrumental variables

Dylan S. Small, D. Small, B. Karmakar, 2022, The Annals of Statistics.

Pre-analysis Plan for a Comparison of Matching and Black Box-based Covariate Adjustment

Dylan S. Small, L. Keele, 2021 .

Observational Study of the Association between Participation in High School Football and Self-Rated Health, Obesity, and Pain in Adulthood.

Dylan S. Small, Sameer K. Deshpande, M. Neuman, 2019, American journal of epidemiology.

After the gun: examining police visits and intimate partner violence following incidents involving a firearm

Dylan S. Small, R. Berk, S. Sorenson, 2019, Journal of Behavioral Medicine.

Data and methods for studying commercial motor vehicle driver fatigue, highway safety and long-term driver health.

Feng Guo, Dylan S. Small, Matthew Rizzo, 2019, Accident; analysis and prevention.

A new, powerful approach to the study of effect modification in observational studies

Dylan S. Small, P. Rosenbaum, Kwonsang Lee, 2017 .

RobustIV and controlfunctionIV: Causal Inference for Linear and Nonlinear Models with Invalid Instrumental Variables

Dylan S. Small, Youjin Lee, Zijian Guo, 2023, 2301.04412.

Testing Endogeneity with Possibly Invalid Instruments and High Dimensional Covariates

Dylan S. Small, T. T. Cai, D. Small, 2016 .

Structured Testing of 2×2 Factorial Effects: An Analytic Plan Requiring Fewer Observations

Dylan S. Small, P. Rosenbaum, D. Small, 2011 .

Discovering effect modification in an observational study of surgical mortality at hospitals with superior nursing

Dylan S. Small, P. Rosenbaum, J. Silber, 2016, 1605.03872.

Strong Control of the Familywise Error Rate in Observational Studies that Discover Effect Modification by Exploratory Methods

Dylan S. Small, P. Rosenbaum, J. Zubizarreta, 2015 .

Inference With Interference Between Units in an fMRI Experiment of Motor Inhibition

Dylan S. Small, Dylan S Small, Paul R Rosenbaum, 2011, Journal of the American Statistical Association.

Falsification Tests for Instrumental Variable Designs With an Application to Tendency to Operate

Dylan S. Small, Rachel R. Kelz, Dylan Small, 2018, Medical care.

Sensitivity analysis for matched pair analysis of binary data: From worst case to average case analysis

Dylan S. Small, Dylan Small, Raiden Hasegawa, 2017, Biometrics.

Quantitative Evaluation of the Trade-Off of Strengthened Instruments and Sample Size in Observational Studies

Dylan S. Small, P. Rosenbaum, D. Small, 2018, Journal of the American Statistical Association.

Technical Preprint: Rationale and Design of a Planned Observational Study to Evaluate the Impact of Hydrocodone Rescheduling on Opioid Prescribing After Surgery

Dylan S. Small, H. Wunsch, C. Brensinger, 2019, 1906.04246.

Protocol for an Observational Study of the Association of High School Football Participation on Health in Late Adulthood.

Dylan S. Small, Sameer K. Deshpande, M. Neuman, 2019, 1902.10106.

Combining Broad and Narrow Case Definitions in Matched Case-Control Studies: Firearms in the Home and Suicide Risk

Dylan S. Small, T. Ye, Kan Chen, 2021, 2105.01124.

New multivariate tests for assessing covariate balance in matched observational studies

Dylan S. Small, D. Small, Hao Chen, 2016, Biometrics.

Protocol for an Observational Study on the Effects of Early-Life Participation in Contact Sports on Later-Life Cognition in a Sample of Monozygotic and Dizygotic Swedish Twins Reared Together and Twins Reared Apart

Dylan S. Small, Sameer K. Deshpande, D. Small, 2018, 1807.10558.

A powerful approach to the study of moderate effect modification in observational studies

Dylan S. Small, P. Rosenbaum, Kwonsang Lee, 2017, Biometrics.

Semiparametric estimation of the attributable fraction when there are interactions under monotonicity constraints

Dylan S. Small, D. Small, Wei Wang, 2020, BMC Medical Research Methodology.

Selective inference for effect modification via the lasso

Dylan S. Small, Qingyuan Zhao, Ashkan Ertefaie, 2017, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Strong Control of the Familywise Error Rate in Observational Studies that Discover Effect Modification by Exploratory Methods

Dylan S. Small, P. Rosenbaum, J. Zubizarreta, 2015 .

Split Samples and Design Sensitivity in Observational Studies

Dylan S. Small, P. Rosenbaum, R. Heller, 2009 .

Calibrating Sensitivity Analyses to Observed Covariates in Observational Studies

Dylan S. Small, J. Hsu, 2013, Biometrics.

Book review of “Observation and Experiment: An Introduction to Causal Inference” by Paul R. Rosenbaum

Dylan S. Small, 2021 .

False discovery rate control for effect modification in observational studies

Dylan S. Small, R. Heller, D. Small, 2018 .

Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization

Dylan S. Small, Anru R. Zhang, T. T. Cai, 2014, 1401.5755.

Model-robust and efficient covariate adjustment for cluster-randomized experiments

Dylan S. Small, Fan Li, Bingkai Wang, 2022, 2210.07324.

On the mixed-model analysis of covariance in cluster-randomized trials

Dylan S. Small, Fan Li, M. Harhay, 2021, 2112.00832.

Randomization Inference in a Group–Randomized Trial of Treatments for Depression

Dylan S. Small, Dylan S Small, Paul R Rosenbaum, 2008 .

The causal effect of malaria on stunting: a Mendelian randomization and matching approach.

Dylan S. Small, Hyunseung Kang, B. Kreuels, 2013, International journal of epidemiology.

Instrumental Variable Analysis

Dylan S. Small, M. Baiocchi, Jing Cheng, 2019, Health Services Evaluation.

Reinforced Designs: Multiple Instruments Plus Control Groups as Evidence Factors in an Observational Study of the Effectiveness of Catholic Schools

Dylan S. Small, P. Rosenbaum, B. Karmakar, 2020 .

Aporetic Conclusions When Testing the Validity of an Instrumental Variable

Dylan S. Small, P. Rosenbaum, D. Small, 2013 .

Optimal Matching for Observational Studies That Integrate Quantitative and Qualitative Research

Dylan S. Small, P. Rosenbaum, Ruoqi Yu, 2021, Statistics and Public Policy.

Using randomized rounding of linear programs to obtain unweighted natural strata that balance many covariates

Dylan S. Small, P. Rosenbaum, D. Small, 2022, Journal of the Royal Statistical Society: Series A (Statistics in Society).

Bounds on causal effects in three‐arm trials with non‐compliance

Dylan S. Small, D. Small, Jing Cheng, 2006 .

A Simple Example of Isolation in Building a Natural Experiment

Dylan S. Small, P. Rosenbaum, J. Zubizarreta, 2018, CHANCE : New Directions for Statistics and Computing.

Sensitivity analysis and power for instrumental variable studies

Nancy R. Zhang, Dylan S. Small, Xuran Wang, 2018, Biometrics.

Disease Diagnosis from Immunoassays with Plate to Plate Variability: A Hierarchical Bayesian Approach

Dylan S. Small, M. Levy, G. Sanchez, 2015 .

Rationale and Design of the Randomized Evaluation of Default Access to Palliative Services (REDAPS) Trial.

Dylan S. Small, G. Escobar, A. Troxel, 2016, Annals of the American Thoracic Society.

Epidemiologic research using probabilistic outcome definitions

Dylan S. Small, S. Hennessy, V. Lo Re, 2015, Pharmacoepidemiology and drug safety.

Ensemble of trees approaches to risk adjustment for evaluating a hospital’s performance

Dylan S. Small, E. George, M. Traskin, 2014, Health Care Management Science.

Surrogate markers for time-varying treatments and outcomes

Dylan S. Small, Edward H. Kennedy, D. Small, 2015, Clinical trials.

Selection Bias When Using Instrumental Variable Methods to Compare Two Treatments But More Than Two Treatments Are Available

Dylan S. Small, Ashkan Ertefaie, S. Hennessy, 2015, The international journal of biostatistics.

Handbook of Matching and Weighting Adjustments for Causal Inference

Dylan S. Small, P. Rosenbaum, E. Stuart, 2023 .

Automated Analysis of Low-Field Brain MRI in Cerebral Malaria

Dylan S. Small, Lark, Elly, 2020, bioRxiv.

Larry Brown: Remembrance and Connections of His Work to Observational Studies

Dylan S. Small, 2021 .

Structural mean models for instrumented difference-in-differences

Dylan S. Small, S. Vansteelandt, D. Small, 2022, 2209.10339.

A randomized trial of nighttime physician staffing in an intensive care unit.

Dylan S. Small, S. Halpern, M. Harhay, 2013, New England Journal of Medicine.