2026 Andrea Rotnitzky: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	42	1743	1512	747	603	82	17113

Overview

Andrea Rotnitzky is affiliated with the University of Washington in the United States and works primarily within the field of mathematics. Their research focuses extensively on statistics and probability, with additional involvement in artificial intelligence, economics and econometrics, experimental and cognitive psychology, and neurology.

The scientist's main areas of study emphasize advanced causal inference techniques and statistical methods. Their work covers a range of topics including:

Advanced Causal Inference Techniques
Statistical Methods and Inference
Statistical Methods in Clinical Trials
Statistical Methods and Bayesian Inference
Bayesian Modeling and Causal Inference
Mental Health Research Topics
Long-Term Effects of COVID-19

Andrea Rotnitzky has published in several scientific venues, with a notable presence in:

arXiv (Cornell University)
Biometrika
Journal of Causal Inference
Journal of the American Statistical Association
Epidemiology

Some of their recent papers include:

Characterization of parameters with a mixed bias property, 2020, Biometrika
Efficient adjustment sets in causal graphical models with hidden variables, 2021, Biometrika
A note on efficient minimum cost adjustment sets in causal graphical models, 2022, Journal of Causal Inference
Efficient Estimation of Optimal Regimes Under a No Direct Effect Assumption, 2020, Journal of the American Statistical Association
Double-robust and efficient methods for estimating the causal effects of a binary treatment, 2020, arXiv (Cornell University)

The scientist collaborates frequently with researchers who have contributed jointly on multiple occasions. Their frequent coauthors include:

Ezequiel Smucler
James M. Robins
Marco Carone
Charles J. Wolock
Susan Jacob

Best Publications

Estimation of Regression Coefficients When Some Regressors are not Always Observed

James M. Robins;Andrea Rotnitzky;Lue Ping Zhao

3376
Citations
Analysis of semiparametric regression models for repeated outcomes in the presence of missing data

James M. Robins;Andrea Rotnitzky;Lue Ping Zhao

1943
Citations
The Prevention and Treatment of Missing Data in Clinical Trials

Roderick J. Little;Ralph D'Agostino;Michael L. Cohen;Kay Dickersin

1746
Citations
Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models

Daniel O. Scharfstein;Andrea Rotnitzky;James M. Robins

1416
Citations
Semiparametric Efficiency in Multivariate Regression Models with Missing Data

James M. Robins;Andrea Rotnitzky

1118
Citations
Recovery of Information and Adjustment for Dependent Censoring Using Surrogate Markers

James M. Robins;Andrea Rotnitzky

815
Citations
Semiparametric Regression for Repeated Outcomes With Nonignorable Nonresponse

Andrea Rotnitzky;James M. Robins;Daniel O. Scharfstein

550
Citations
Comment: Performance of Double-Robust Estimators When “Inverse Probability” Weights Are Highly Variable

James Robins;Mariela Sued;Quanhong Lei-Gomez;Andrea Rotnitzky

549
Citations
Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models

James M. Robins;Andrea Rotnitzky;Daniel O. Scharfstein

528
Citations
Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data

Andrea Rotnitzky;Nicholas P. Jewell

517
Citations
Regression Models for Discrete Longitudinal Responses

Garrett M. Fitzmaurice;Nan M. Laird;Andrea G. Rotnitzky

377
Citations
Estimation and extrapolation of optimal treatment and testing strategies.

James Robins;Liliana Orellana;Andrea Rotnitzky;Andrea Rotnitzky

264
Citations
Semiparametric regression estimation in the presence of dependent censoring

Andrea Rotnitzky;James M. Robins

228
Citations
Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part I: main content.

Liliana Orellana;Andrea Rotnitzky;James M. Robins

220
Citations
Analysis of semi-parametric regression models with non-ignorable non-response.

Andrea Rotnitzky;James Robins

209
Citations
Likelihood-based inference with singular information matrix

Andrea Rotnitzky;David R. Cox;Matteo Bottai;James Robins

209
Citations
Improved double-robust estimation in missing data and causal inference models

Andrea Rotnitzky;Quanhong Lei;Mariela Sued;James M. Robins

171
Citations
Lead and hypertension in a sample of middle-aged women.

S A Korrick;D J Hunter;A Rotnitzky;H Hu

168
Citations
Estimation of treatment effects in randomised trials with non-compliance and a dichotomous outcome using structural mean models

James Robins;Andrea Rotnitzky

164
Citations
Can physical activity minimize weight gain in women after smoking cessation

Ichiro Kawachi;Rebecca J. Troisi;Andrea G. Rotnitzky;Eugenie H. Coakley

161
Citations
Hypothesis Testing of Regression Parameters in Semi-Parametric Generalized Linear Models for Cluster Correlated Data

Andrea Rotnitzky;Nicholas P. Jewell

3
Citations

Frequent Co-Authors

James M. Robins Harvard University

Howard Hu University of Southern California

Scott T. Weiss Harvard University

David Sparrow Boston University

Peter B. Gilbert Fred Hutchinson Cancer Research Center

Xihong Lin Harvard University

Garrett M. Fitzmaurice Harvard University

Frank E. Speizer Harvard University

Constantine Frangakis Johns Hopkins University

John D. Spengler Harvard University

External Links

Personal website of Andrea Rotnitzky Google Scholar page

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