Sherri Rose

发表

Research Questions in Data Science

Mark J. van der Laan, Sherri Rose, M. J. Laan, 2018 .

Statistics Ready for a Revolution: Next Generation of Statisticians Must Build Tools for Massive Data Sets

Mark J. van der Laan, Sherri Rose, M. J. Laan, 2010 .

Response to invited commentary. Rose et al. respond to "G-computation and standardization in epidemiology".

Sherri Rose, Jonathan M Snowden, Kathleen M Mortimer, 2011, American journal of epidemiology.

Ethical Machine Learning in Health Care pdf

Marzyeh Ghassemi, Kadija Ferryman, Shalmali Joshi, 2020, Annual review of biomedical data science.

Defining the Model and Parameter

Mark J. van der Laan, Sherri Rose, 2011 .

Fair regression for health care spending

Sherri Rose, Anna Zink, Sherri Rose, 2019, Biometrics.

Targeted Learning for Causality and Statistical Analysis in Medical Research

Mark J. van der Laan, Sherri Rose, Richard J. C. M. Starmans, 2012 .

A Note on Risk Prediction for Case-Control Studies

Mark J. van der Laan, Sherri Rose, M. J. Laan, 2008 .

Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings

Sherri Rose, Robert E. Schoen, Ateev Mehrotra, 2017, J. Am. Medical Informatics Assoc..

Targeted Learning in Data Science. Causal Inference for Complex Longitudinal Studies.

Mark J. van der Laan, Sherri Rose, M. J. Laan, 2018, Anticancer research.

Targeted Learning for Variable Importance

Sherri Rose, Sherri Rose, 2016, Handbook of Big Data.

The Good News about Desktop Learning.

Sherri Rose, Linda Keegan, 1997 .

Targeted Learning of The Probability of Success of An In Vitro Fertilization Program Controlling for Time-dependent Confounders

Antoine Chambaz, Mark J. van der Laan, Sherri Rose, 2012 .

Causal Inference for Nested Case-Control Studies using Targeted Maximum Likelihood Estimation

Mark J. van der Laan, Sherri Rose, 2009 .

Introduction to TMLE

Mark J. van der Laan, Sherri Rose, 2011 .

Classifying Lung Cancer Severity with Ensemble Machine Learning in Health Care Claims Data

Sherri Rose, Savannah L. Bergquist, Gabriel A. Brooks, 2017, MLHC.

Introduction to R Code Implementation

Mark J. van der Laan, Sherri Rose, 2011 .

Limitations of P-Values and R-squared for Stepwise Regression Building: A Fairness Demonstration in Health Policy Risk Adjustment

Sherri Rose, Thomas G. McGuire, Sherri Rose, 2018, American Statistician.

Statistical Fit and Algorithmic Fairness in Risk Adjustment for Health Policy pdf

Sherri Rose, Thomas G. McGuire, Sherri Rose, 2018, ArXiv.

IMPLEMENTATION OF G-COMPUTATION ON A SIMULATED DATASET FOR CAUSAL INFERENCE

Sherri Rose, Jonathan M. Snowden, Kathleen M. Mortimer, 2010 .

Simplifying and Improving the Performance of Risk Adjustment Systems

Sherri Rose, Anna Zink, Thomas G. McGuire, 2020, SSRN Electronic Journal.

Targeted Methods for Finding Quantitative Trait Loci

Hui Wang, Mark J. van der Laan, Sherri Rose, 2011 .

A Review of Generalizability and Transportability

Sherri Rose, Irina Degtiar, Sherri Rose, 2021, Annual Review of Statistics and Its Application.

Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex Algorithms.

Sherri Rose, Ani Eloyan, 2021, Observational studies.

Improving the Performance of Risk Adjustment Systems

Sherri Rose, Thomas G. McGuire, Anna L. Zink, 2021, American Journal of Health Economics.

Identifying undercompensated groups defined by multiple attributes in risk adjustment

Sherri Rose, Anna Zink, 2021, BMJ Health & Care Informatics.

Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid

Sherri Rose, Jacob Wallace, Irina Degtiar, 2021 .

Why Machine Learning Cannot Ignore Maximum Likelihood Estimation pdf

Mark J. van der Laan, Sherri Rose, M. J. Laan, 2021, ArXiv.

Risk-Adjustment Simulation: Plans May Have Incentives To Distort Mental Health And Substance Use Coverage.

Ellen Montz, Sherri Rose, Thomas G McGuire, 2016, Health affairs.

Insurance Transitions and Changes in Physician and Emergency Department Utilization: An Observational Study

Michael L. Barnett, Sherri Rose, Michael E. Chernew, 2017, Journal of General Internal Medicine.

A Novel Targeted Learning Method for Quantitative Trait Loci Mapping

Sherri Rose, Zhongyang Zhang, Mark van der Laan, 2014, Genetics.

Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies

Sherri Rose, Megan S. Schuler, Sherri Rose, 2017, American journal of epidemiology.

Finding Quantitative Trait Loci Genes with Collaborative Targeted Maximum Likelihood Learning.

Mark J van der Laan, Sherri Rose, M. J. van der Laan, 2011, Statistics & probability letters.

A Machine Learning Framework for Plan Payment Risk Adjustment.

Sherri Rose, Sherri Rose, 2016, Health services research.

Computational health economics for identification of unprofitable health care enrollees

Sherri Rose, Timothy J. Layton, Savannah L. Bergquist, 2017, Biostatistics.

A Generalizable Data Assembly Algorithm for Modeling Ebola Virus Disease in the Eastern DR Congo

Sherri Rose, Maimuna S. Majumder, 2019 .

The International Journal of Biostatistics A Targeted Maximum Likelihood Estimator for Two-Stage Designs

Mark J van der Laan, Sherri Rose, M. J. van der Laan, 2011 .

Big data and the future

Sherri Rose, 2012 .

Rose and van der Laan respond to "Some advantages of the relative excess risk due to interaction".

Sherri Rose, Mark van der Laan, 2014, American journal of epidemiology.

Finding Quantitative Trait Loci Genes

Mark J. van der Laan, Sherri Rose, Hui Wang, 2011 .

The Open Problem

Mark J. van der Laan, Sherri Rose, M. J. Laan, 2011 .

MAJOR DEPRESSIVE DISORDER SUBTYPES TO PREDICT LONG‐TERM COURSE

Tianxi Cai, Sherri Rose, Oye Gureje, 2014, Depression and anxiety.

Implementation of G-computation on a simulated data set: demonstration of a causal inference technique.

Sherri Rose, Jonathan M Snowden, Sherri Rose, 2011, American journal of epidemiology.

Ethical Machine Learning in Health

Marzyeh Ghassemi, Kadija Ferryman, Shalmali Joshi, 2020 .

A double robust approach to causal effects in case-control studies.

Sherri Rose, Mark van der Laan, M. J. van der Laan, 2014, American journal of epidemiology.

Risk Adjustment for Health Plan Payment

Sherri Rose, Randall P. Ellis, Sherri Rose, 2018 .

Intervening on the Data to Improve the Performance of Health Plan Payment Methods

Savannah Bergquist, Sherri Rose, Savannah L. Bergquist, 2018 .

Data transformations to improve the performance of health plan payment methods.

Sherri Rose, Thomas G McGuire, Savannah L. Bergquist, 2019, Journal of health economics.

The International Journal of Biostatistics Why Match ? Investigating Matched Case-Control Study Designs with Causal Effect Estimation

Sherri Rose, Mark J. van der Laan, M. J. van der Laan, 2011 .

Assessing Hospital Performance After Percutaneous Coronary Intervention Using Big Data

Sherri Rose, Jacob V. Spertus, Jacob V Spertus, 2016, Circulation. Cardiovascular quality and outcomes.

Changes in health care spending and quality 4 years into global payment.

Sherri Rose, Michael E Chernew, Bruce E Landon, 2014, The New England journal of medicine.