J. Sekhon

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Transfer Learning for Estimating Causal Effects using Neural Networks pdf

Pieter Abbeel, Jasjeet S. Sekhon, Sören R. Künzel, 2018, ArXiv.

Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning

Sören R. Künzel, P. Bickel, Bin Yu, 2017 .

Metalearners for estimating heterogeneous treatment effects using machine learning

Sören R. Künzel, P. Bickel, Bin Yu, 2017, Proceedings of the National Academy of Sciences.

The Neyman— Rubin Model of Causal Inference and Estimation Via Matching Methods

J. Sekhon, 2008 .

Adjusting treatment effect estimates by post‐stratification in randomized experiments

Luke W. Miratrix, Bin Yu, J. Sekhon, 2013 .

Overlap in observational studies with high-dimensional covariates

Alexander D'Amour, Avi Feller, Lihua Lei, 2017, Journal of Econometrics.

Statistical Models: Foreword to the Revised Edition

P. Stark, J. Sekhon, David Collier, 2009 .

Statistical Models and Causal Inference: A Dialogue with the Social Sciences

Philip B. Stark, D. Freedman, J. Sekhon, 2009 .

Statistical Models and Causal Inference: On Specifying Graphical Models for Causation, and the Identification Problem

D. Freedman, P. Stark, J. Sekhon, 2009 .

Uniform, nonparametric, non-asymptotic confidence sequences

Jon D. McAuliffe, Aaditya Ramdas, J. Sekhon, 2018 .

Time-uniform Chernoff bounds via nonnegative supermartingales

Jon D. McAuliffe, Aaditya Ramdas, J. Sekhon, 2018, Probability Surveys.

Time-uniform, nonparametric, nonasymptotic confidence sequences

Jon D. McAuliffe, Aaditya Ramdas, J. Sekhon, 2018, The Annals of Statistics.

The Butterfly Did It: The Aberrant Vote for Buchanan in Palm Beach County, Florida

Jonathan N. Wand, Henry E. Brady, Michael C. Herron, 2001, American Political Science Review.

Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias

Jasjeet S. Sekhon, Devin Caughey, Adam J. Berinsky, 2020 .

Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies

J. Sekhon, A. Diamond, 2006, Review of Economics and Statistics.

Statistical Models and Causal Inference: Editors' Introduction: Inference and Shoe Leather

Philip B. Stark, Jasjeet S. Sekhon, David Collier, 2009 .

Worth Weighting? How to Think About and Use Weights in Survey Experiments

Jasjeet S. Sekhon, Luke W. Miratrix, Luis F. Campos, 2017, Political Analysis.

From sample average treatment effect to population average treatment effect on the treated: combining experimental with observational studies to estimate population treatment effects

Roland R. Ramsahai, J. Sekhon, R. Grieve, 2015 .

The Relative Performance of Targeted Maximum Likelihood Estimators

Kristin E. Porter, Mark J van der Laan, Susan Gruber, 2011, The international journal of biostatistics.

Extending iterative matching methods: an approach to improving covariate balance that allows prioritisation

Roland R. Ramsahai, J. Sekhon, R. Grieve, 2011, Health Services and Outcomes Research Methodology.

The Varying Role of Voter Information Across Democratic Societies

Henry E. Brady, Robert H. Durr, D. Rubin, 2007 .

Evaluating treatment effectiveness under model misspecification: A comparison of targeted maximum likelihood estimation with bias-corrected matching

J. Sekhon, Susan Gruber, R. Grieve, 2014, Statistical methods in medical research.

Regression-adjusted matching and double-robust methods for estimating average treatment effects in health economic evaluation

J. Sekhon, R. Grieve, R. Radice, 2013, Health Services and Outcomes Research Methodology.

Evaluating treatment effectiveness in patient subgroups: a comparison of propensity score methods with an automated matching approach

Roland R. Ramsahai, J. Sekhon, R. Grieve, 2012, The international journal of biostatistics.

Lasso adjustments of treatment effect estimates in randomized experiments

Cun-Hui Zhang, Bin Yu, Adam Bloniarz, 2015, Proceedings of the National Academy of Sciences.

Genetic Optimization Using Derivatives

J. Sekhon, W. Mebane, 1998, Political Analysis.

Challenges, solutions and future directions in the evaluation of service innovations in health care and public health

Jo Rycroft-Malone, Jeremy M. Grimshaw, Jasjeet S. Sekhon, 2016 .

Opiates for the Matches: Matching Methods for Causal Inference

Jasjeet S. Sekhon, J. Sekhon, 2009 .

Statistical Models and Causal Inference: Diagnostics Cannot Have Much Power Against General Alternatives

D. Freedman, P. Stark, J. Sekhon, 2009 .

A comparison of alternative strategies for choosing control populations in observational studies

J. Sekhon, R. Grieve, A. Steventon, 2015, Health Services and Outcomes Research Methodology.

OVERLAP IN HIGH DIMENSIONAL OBSERVATIONAL STUDIES PRELIMINARY DRAFT DO NOT CITE

J. Sekhon, A. D'Amour, P. Ding, 2017 .

OVERLAP IN HIGH DIMENSIONAL OBSERVATIONAL STUDIES WORKING DRAFT ; REVISED : 10 / 24 / 2017

J. Sekhon, Lihua Lei, A. D'Amour, 2017 .

From SATE to PATT : Combining Experimental with Observational Studies to Estimate Population Treatment Effects ∗

J. Sekhon, R. Grieve, E. Hartman, 2013 .

Improving Experiments by Optimal Blocking: Minimizing the Maximum Within-block Distance

J. Sekhon, Michael J. Higgins, 2013 .

Preferences for Descriptive Representation : Asymmetries Between Hindus and Muslims in India ∗

J. Sekhon, Pradeep K. Chhibber, T. Kumar, 2018 .

Statistical Models and Causal Inference: Contents

Philip B. Stark, Jasjeet S. Sekhon, David A. Freedman, 2009 .

Worth Weighting ? How to Think About and Use Sample Weights in Survey Experiments

Luke W. Miratrix, Luis F. Campos, Alexander G. Theodoridis, 2017 .

Black Candidates and Black Voters: Assessing the Impact of Candidate Race on Uncounted Vote Rates

Jasjeet S. Sekhon, Michael C. Herron, J. Sekhon, 2005 .

Cause or Effect? Turnout in Hispanic Majority-Minority Districts

John A. Henderson, J. Sekhon, R. Titiunik, 2016, Political Analysis.

Propensity-Score-Based Estimators and C-TMLE

Kristin E. Porter, J. Sekhon, M. J. Laan, 2011 .

Methods for Estimating Subgroup Effects in Cost-Effectiveness Analyses That Use Observational Data

J. Sekhon, R. Grieve, Roland Ramsahai, 2012, Medical decision making : an international journal of the Society for Medical Decision Making.

Costs of health care administration in the United States and Canada.

J. Sekhon, 2003, The New England journal of medicine.

Ethnicity or class? The communist electorate in English Canada, 1945–77

J. Sekhon, J. Laponce, 1995 .

Time-uniform, nonparametric, nonasymptotic confidence sequences

Jon D. McAuliffe, Aaditya Ramdas, J. Sekhon, 2018, The Annals of Statistics.

Broad cross-national public support for accelerated COVID-19 vaccine trial designs

David E. Broockman, Joshua L. Kalla, N. Jewell, 2020, Vaccine.

Statistical Models and Causal Inference: Survival Analysis: An Epidemiological Hazard?

Philip B. Stark, D. Freedman, J. Sekhon, 2009 .

A Tale of Two Panel Data Regressions

J. Sekhon, P. Ding, Dennis Shen, 2022 .

Same Root Different Leaves: Time Series and Cross‐Sectional Methods in Panel Data

J. Sekhon, P. Ding, Dennis Shen, 2022, Econometrica.

Time-uniform Chernoff bounds via nonnegative supermartingales

Jon D. McAuliffe, Aaditya Ramdas, J. Sekhon, 2018, Probability Surveys.

Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching Package for R

Jasjeet S. Sekhon, J. Sekhon, 2008 .

Referral to an extracorporeal membrane oxygenation center and mortality among patients with severe 2009 influenza A(H1N1).

Susanna Price, Gavin D Perkins, Richard Grieve, 2011, JAMA.

Statistical Models and Causal Inference: On Types of Scientific Inquiry: The Role of Qualitative Reasoning

D. Freedman, P. Stark, J. Sekhon, 2009 .

The Asymmetric Role of Religious Appeals in India

J. Sekhon, Pradeep K. Chhibber, 2015 .

Mobilizing Identities : Religious Practice and Political Action in India ∗

J. Sekhon, Pradeep K. Chhibber, 2013 .

Hybridized Threshold Clustering for Massive Data pdf

Jasjeet S. Sekhon, Michael Higgins, Jianmei Luo, 2019, ArXiv.

Genetic Optimization Using Derivatives

Jasjeet S. Sekhon, Walter R. Mebane, J. Sekhon, 2011, Political Analysis.

Elections and the Regression Discontinuity Design: Lessons from Close U.S. House Races, 1942–2008

Jasjeet S. Sekhon, Devin Caughey, J. Sekhon, 2011, Political Analysis.

Generalized Full Matching

Jasjeet S. Sekhon, Fredrik Savje, Michael J. Higgins, 2017, Political Analysis.

Improving massive experiments with threshold blocking

Fredrik Sävje, J. Sekhon, Fredrik Sävje, 2016, Proceedings of the National Academy of Sciences.

Evaluating health care programs by combining cost with quality of life measures: a case study comparing capitation and fee for service.

Richard Grieve, Teh-Wei Hu, Jasjeet S Sekhon, 2008, Health services research.

Fundamental health care reform for the United States

Jasjeet S. Sekhon, Jonathan Gruber, J. Sekhon, 2010 .

Statistics and Health Care Reform in the United States

J. Sekhon, 2010 .

Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data

Jasjeet S. Sekhon, Walter R. Mebane, J. Sekhon, 2004 .

When Natural Experiments Are Neither Natural nor Experiments

Jasjeet S. Sekhon, Rocío Titiunik, J. Sekhon, 2012, American Political Science Review.

Redistricting and the Personal Vote: When Natural Experiments are Neither Natural nor Experiments

J. Sekhon, R. Titiunik, 2009 .

Exploiting Tom DeLay: A New Method for Estimating Incumbency Advantage

Jasjeet S. Sekhon, Rocío Titiunik, J. Sekhon, 2008 .

Comment: Data Troubles: Explaining Discrepancies between Official Votes and Exit Polls in the 2004 Presidential Election

Jasjeet S. Sekhon, J. Sekhon, 2007 .

Quality Meets Quantity: Case Studies, Conditional Probability, and Counterfactuals

Jasjeet S. Sekhon, J. Sekhon, 2004, Perspectives on Politics.

Detecting and Correcting Election Irregularities

Jonathan N. Wand, J. Sekhon, W. Mebane, 2003 .

Estimating causal effects: considering three alternatives to difference-in-differences estimation

Jasjeet S. Sekhon, Richard Grieve, Noémi Kreif, 2016, Health Services and Outcomes Research Methodology.

Cemented, cementless, and hybrid prostheses for total hip replacement: cost effectiveness analysis

Richard Grieve, Nick Black, Mark Pennington, 2013, BMJ : British Medical Journal.

Advancing quantitative methods for the evaluation of complex interventions

J. Sekhon, N. Freemantle, R. Grieve, 2016 .

Blocking estimators and inference under the Neyman-Rubin model

J. Sekhon, Michael J. Higgins, Fredrik Savje, 2015, 1510.01103.

Essays on Causal Inference in Randomized Experiments by Winston Lin Doctor of Philosophy in Statistics

J. Sekhon, 2013 .

From SATE to PATT : Combining Experimental with Observational Studies to Estimate Population Treatment Effects ∗

J. Sekhon, R. Grieve, E. Hartman, 2013 .

Exponential line-crossing inequalities

Jon D. McAuliffe, Aaditya Ramdas, J. Sekhon, 2018 .

Cancer Drugs Fund requires further reform

D. Spiegelhalter, L. Smeeth, J. Sekhon, 2016, British Medical Journal.

A matching method for improving covariate balance in cost-effectiveness analyses.

J. Sekhon, R. Grieve, Jasjeet Singh Sekhon, 2012, Health economics.

Steroid-Responsive (Autoimmune?) Sclerosing Cholangitis

J. Sekhon, M. Kaplan, R. Chung, 2005, Digestive Diseases and Sciences.

Endogeneity in Probit Response Models

D. Freedman, J. Sekhon, 2008, Political Analysis.

A New Non-Parametric Matching Method for Bias Adjustment with Applications to Economic Evaluations

Jasjeet S. Sekhon, Richard Grieve, J. Sekhon, 2008 .

Government 2000 Lecture Notes

J. Sekhon, 2005 .

Coordination and Policy Moderation at Midterm

J. Sekhon, W. Mebane, 2002, American Political Science Review.

Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data, with an Application to the Elian Efiect in Florida ⁄

J. Sekhon, W. Mebane, 2002 .

Detection of Multinomial Voting Irregularities

Jonathan N. Wand, J. Sekhon, W. Mebane, 2001 .

Inference on a New Class of Sample Average Treatment Effects

Jasjeet S. Sekhon, Yotam Shem-Tov, J. Sekhon, 2017, Journal of the American Statistical Association.

Combining Experimental and Observational Data to Estimate Population Treatment Effects

J. Sekhon, E. Hartman, 2010 .

A New Non-Parametric Matching Method for Covariate Adjustment with Application to Economic Evaluation

Jasjeet S. Sekhon, Richard Grieve, J. Sekhon, 2009 .

A Comparison of the Small-Sample Properties of Several Estimators for Spatial-Lag Count Models

David S. Siroky, John H. Freeman, Jonathan N. Katz, 2009 .

ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast

J. Sekhon, L. Staib, Chenyu You, 2023, arXiv.org.

Nonparametric identification is not enough, but randomized controlled trials are

James M. Robins, Jasjeet Sekhon, Fredrik Savje, 2021, 2108.11342.

Shrinkage Estimators in Online Experiments

Drew Dimmery, Eytan Bakshy, Jasjeet Sekhon, 2019, KDD.

Estimating Heterogeneous Treatment Effects Using Neural Networks With The Y-Learner

Sören R. Künzel, Bradly C. Stadie, Nikita Vemuri, 2018 .

Law and Data: The Butterfly Ballot Episode

Jonathan N. Wand, Henry E. Brady, Michael C. Herron, 2001, PS: Political Science & Politics.

Understanding Regression Discontinuity Designs As Observational Studies

Jasjeet S. Sekhon, J. Sekhon, R. Titiunik, 2021 .

On Interpreting the Regression Discontinuity Design as a Local Experiment

Jasjeet S. Sekhon, Rocío Titiunik, J. Sekhon, 2017 .

Regression-Discontinuity Designs and Popular Elections : Implications of Pro-Incumbent Bias in Close U . S . House Races

Jasjeet S. Sekhon, J. Sekhon, Devin Caughey, 2010 .

Methods for Census 2000 and Statistical Adjustments

D. Freedman, P. Stark, J. Sekhon, 2007 .

Harnois et al.: study of high-dose ursodeoxycholic acid

J. Sekhon, 2002, American Journal of Gastroenterology.

Linear Aggregation in Tree-Based Estimators

Jasjeet S. Sekhon, Sören R. Künzel, Soren R. Kunzel, 2019, J. Comput. Graph. Stat..

A matching method for improving covariate balance in cost-effectiveness analyses.

J. Sekhon, R. Grieve, 2012, Health economics.

Evaluating treatment effectiveness under model misspecification: A comparison of targeted maximum likelihood estimation with bias-corrected matching

J. Sekhon, Rosalba Radice, Noémi Kreif, 2014, Statistical methods in medical research.

Endogeneity in Probit Response Models

J. Sekhon, David A. Freedman, 2008, Political Analysis.

Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate ∗

J. Sekhon, R. Titiunik, Devin Caughey, 2013 .

Hidden yet quantiﬁable: A lower bound for confounding strength using randomized trials

Roland R. Ramsahai, J. Sekhon, Nathan Kallus, 2022 .

The Design of Field Experiments With Survey Outcomes: A Framework for Selecting More Efficient, Robust, and Ethical Designs

David E. Broockman, Joshua L. Kalla, Jasjeet S. Sekhon, 2017, Political Analysis.

Overvoting and representation: an examination of overvoted presidential ballots in Broward and Miami-Dade counties

Jasjeet S. Sekhon, Michael C. Herron, J. Sekhon, 2003 .