Andrea Rotnitzky

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Towards a Unified Theory for Semiparametric Data Fusion with Individual-Level Data	2024	E. C. Graham Marco Carone Andrea Rotnitzky
+ PDF Chat	Investigating symptom duration using current status data: a case study of post-acute COVID-19 syndrome	2024	Charles J. Wolock Susan Jacob Julia C. Bennett Anna Elias-Warren Jessica O’Hanlon Avi Kenny Nicholas P. Jewell Andrea Rotnitzky Ana A. Weil Helen Y. Chu
+ PDF Chat	Variable elimination, graph reduction and the efficient g-formula	2022	F Richard Guo Emilija Perković Andrea Rotnitzky
+	A note on efficient minimum cost adjustment sets in causal graphical models	2022	Ezequiel Smucler Andrea Rotnitzky
+	Variable elimination, graph reduction and efficient g-formula	2022	F. Richard Guo Emilija Perković Andrea Rotnitzky
+ PDF Chat	A note on efficient minimum cost adjustment sets in causal graphical models	2022	Ezequiel Smucler Andrea Rotnitzky
+ PDF Chat	Efficient adjustment sets in causal graphical models with hidden variables	2021	Ezequiel Smucler Facundo Sapienza Andrea Rotnitzky
+	Efficient Estimation of Optimal Regimes Under a No Direct Effect Assumption	2020	Lin Liu Zach Shahn James M. Robins Andrea Rotnitzky
+ PDF Chat	Characterization of parameters with a mixed bias property	2020	Andrea Rotnitzky Ezequiel Smucler James M. Robins
+	Efficient adjustment sets in causal graphical models with hidden variables	2020	Ezequiel Smucler Facundo Sapienza Andrea Rotnitzky
+	Double-robust and efficient methods for estimating the causal effects of a binary treatment	2020	James M. Robins Mariela Sued Quanhong Lei-Gomez Andrea Rotnitzky
+	Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models	2020	Andrea Rotnitzky Ezequiel Smucler
+	Efficient adjustment sets in causal graphical models with hidden variables	2020	Ezequiel Smucler Facundo Sapienza Andrea Rotnitzky
+	Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models.	2019	Andrea Rotnitzky Ezequiel Smucler
+	A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts	2019	Ezequiel Smucler Andrea Rotnitzky James M. Robins
+	Characterization of parameters with a mixed bias property	2019	Andrea Rotnitzky Ezequiel Smucler James M. Robins
+	Efficient estimation of optimal regimes under a no direct effect assumption	2019	Lin Liu Zach Shahn James M. Robins Andrea Rotnitzky
+	Characterization of parameters with a mixed bias property	2019	Andrea Rotnitzky Ezequiel Smucler James M. Robins
+	A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts	2019	Ezequiel Smucler Andrea Rotnitzky James M. Robins
+	Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models	2019	Andrea Rotnitzky Ezequiel Smucler
+ PDF Chat	Multiple Robust Estimation of Marginal Structural Mean Models for Unconstrained Outcomes	2018	Lucía Babino Andrea Rotnitzky James M. Robins
+ PDF Chat	Multiple robustness in factorized likelihood models	2017	Julieta Gabriela Arco Molina Andrea Rotnitzky Mariela Sued James M. Robins
+	On the multiply robust estimation of the mean of the g-functional	2017	Andrea Rotnitzky James M. Robins Lucía Babino
+	On the analysis of tuberculosis studies with intermittent missing sputum data	2015	Daniel O. Scharfstein Andrea Rotnitzky M. Roselle Abraham Aidan McDermott Richard E. Chaisson Lawrence Geiter
+	Double-Robust Methods	2014	Andrea Rotnitzky Vansteelandt Stijn
+	Causal Etiology of the Research of James M. Robins	2014	Thomas S. Richardson Andrea Rotnitzky
+	Inverse Probability Weighting in Survival Analysis	2014	Andrea Rotnitzky James M. Robins
+	Efficiency and Efficient Estimators	2014	Andrea Rotnitzky
+ PDF Chat	Doubly Robust Estimation of the Local Average Treatment Effect Curve	2014	Elizabeth L. Ogburn Andrea Rotnitzky James M. Robins
+ PDF Chat	Discussion of “Dynamic treatment regimes: Technical challenges and applications”	2014	James M. Robins Andrea Rotnitzky
+ PDF Chat	Optimal auxiliary-covariate-based two-phase sampling design for semiparametric efficient estimation of a mean or mean difference, with application to clinical trials	2013	Peter B. Gilbert Xuesong Yu Andrea Rotnitzky
+ PDF Chat	Estimation of the effect of interventions that modify the received treatment	2013	Sebastien Haneuse Andrea Rotnitzky
+	Targeted Learning by VAN DER LAAN, M. and ROSE, S.	2013	Andrea Rotnitzky
+ PDF Chat	The Prevention and Treatment of Missing Data in Clinical Trials	2012	Roderick J. A. Little Ralph B. D’Agostino Michael L. Cohen Kay Dickersin Scott S. Emerson John T. Farrar Constantine Frangakis Joseph W. Hogan Geert Molenberghs Susan A. Murphy
+ PDF Chat	Rejoinder	2012	Lu Wang Andrea Rotnitzky Xihong Lin Randall E. Millikan Peter F. Thall
+ PDF Chat	Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer	2012	Lu Wang Andrea Rotnitzky Xihong Lin Randall E. Millikan Peter F. Thall
+ PDF Chat	Improved double-robust estimation in missing data and causal inference models	2012	Andrea Rotnitzky Qian Lei Mariela Sued James M. Robins
+ PDF Chat	On protected estimation of an odds ratio model with missing binary exposure and confounders	2011	Eric J. Tchetgen Tchetgen Andrea Rotnitzky
+ PDF Chat	Double‐robust estimation of an exposure‐outcome odds ratio adjusting for confounding in cohort and case‐control studies	2010	Eric J. Tchetgen Tchetgen Andrea Rotnitzky
+ PDF Chat	Nonparametric Regression With Missing Outcomes Using Weighted Kernel Estimating Equations	2010	Lu Wang Andrea Rotnitzky Xihong Lin
+ PDF Chat	A note on overadjustment in inverse probability weighted estimation	2010	Andrea Rotnitzky Li L Xiaoming Li
+	Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part I: Main Content	2010	Liliana Orellana Andrea Rotnitzky James M. Robins
+ PDF Chat	Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part II: Proofs of Results	2010	Liliana Orellana Andrea Rotnitzky James M. Robins
+ PDF Chat	On doubly robust estimation in a semiparametric odds ratio model	2009	Eric J. Tchetgen Tchetgen James M. Robins Andrea Rotnitzky
+	Semiparametric Theory and Missing Data by TSIATIS, A. A.	2009	Andrea Rotnitzky
+ PDF Chat	Computational Statistics Handbook with MATLAB<sup>®</sup>, 2nd edition by MARTINEZ, W. L. and MARTINEZ, A. R.	2009	Julie L. Daniels Jillian Hogan Daniel F. Heitjan Paul Gustafson Andrea Rotnitzky
+	Inverse probability weighted methods	2008	Andrea Rotnitzky
+	Inverse probability weighted methods	2008	Andrea Rotnitzky
+	Estimation and extrapolation of optimal treatment and testing strategies	2008	James M. Robins Liliana Orellana Andrea Rotnitzky
+ PDF Chat	Estimation of the disease-specific diagnostic marker distribution under verification bias	2008	John H. Page Andrea Rotnitzky
+ PDF Chat	Analysis of quality-of-life adjusted failure time data in the presence of competing, possibly informative, censoring mechanisms	2008	Andrea Rotnitzky Andrea Bergesio Andrés Farall
+ PDF Chat	Comment: Performance of Double-Robust Estimators When “Inverse Probability” Weights Are Highly Variable	2007	James M. Robins Mariela Sued Quanhong Lei-Gomez Andrea Rotnitzky
+ PDF Chat	Semiparametric Estimation of Treatment Effects Given Base-Line Covariates on an Outcome Measured After a Post-Randomization Event Occurs	2007	Yannis Jemiai Andrea Rotnitzky Bryan E. Shepherd Peter B. Gilbert
+	Discussions	2007	James M. Robins Andrea Rotnitzky Stijn Vansteelandt
+ PDF Chat	Invited Commentary: Effect Modification by Time-varying Covariates	2007	James M. Robins Miguel A. Hernán Andrea Rotnitzky
+ PDF Chat	Estimation of Regression Models for the Mean of Repeated Outcomes Under Nonignorable Nonmonotone Nonresponse	2007	Stijn Vansteelandt Andrea Rotnitzky James M. Robins
+ PDF Chat	Analysis of Failure Time Data Under Competing Censoring Mechanisms	2007	Andrea Rotnitzky Andrés Farall Andrea Bergesio Daniel O. Scharfstein
+	Doubly Robust Estimation of the Area Under the Receiver-Operating Characteristic Curve in the Presence of Verification Bias	2006	Andrea Rotnitzky David Faraggi Enrique F. Schisterman
+	Sensitivity Analyses Comparing Outcomes Only Existing in a Subset Selected Post‐Randomization, Conditional on Covariates, with Application to HIV Vaccine Trials	2005	Bryan E. Shepherd Peter B. Gilbert Yannis Jemiai Andrea Rotnitzky
+	On semiparametric inference	2005	Andrea Rotnitzky
+	Inverse Probability Weighting in Survival Analysis	2005	Andrea Rotnitzky James M. Robins
+	Efficiency and Efficient Estimators	2005	Andrea Rotnitzky
+	Pattern–Mixture and Selection Models for Analysing Longitudinal Data with Monotone Missing Patterns	2003	Jolene Birmingham Andrea Rotnitzky Garrett M. Fitzmaurice
+	Estimation of the mean of a K-sample U-statistic with missing outcomes and auxiliaries	2001	Enrique F. Schisterman Andrea Rotnitzky
+	Inference in Randomized Studies with Informative Censoring and Discrete Time‐to‐Event Endpoints	2001	Daniel O. Scharfstein James M. Robins Wesley Eddings Andrea Rotnitzky
+	Discussion of the Frangakis and Rubin Article	2001	James M. Robins Andrea Rotnitzky Marco Bonetti
+ PDF Chat	Methods for Conducting Sensitivity Analysis of Trials with Potentially Nonignorable Competing Causes of Censoring	2001	Andrea Rotnitzky Daniel O. Scharfstein Ting‐Li Su James M. Robins
+	On Profile Likelihood: Comment	2000	James M. Robins Andrea Rotnitzky Mark van der Laan
+	Comment	2000	James M. Robins Andrea Rotnitzky Mark van der Laan
+ PDF Chat	Likelihood-Based Inference with Singular Information Matrix	2000	Andrea Rotnitzky D. R. Cox Matteo Bottai James M. Robins
+	Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models	2000	James M. Robins Andrea Rotnitzky Daniel O. Scharfstein
+	Likelihood-based inference with singular	2000	Andrea Rotnitzky D. R. Cox Matteo Bottai James M. Robins
+	Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models	1999	Daniel O. Scharfstein Andrea Rotnitzky James M. Robins
+	Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models: Rejoinder	1999	Daniel O. Scharfstein Andrea Rotnitzky James M. Robins
+	Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models	1999	Daniel O. Scharfstein Andrea Rotnitzky James M. Robins
+	Rejoinder	1999	Daniel O. Scharfstein Andrea Rotnitzky James M. Robins
+	Semiparametric Regression for Repeated Outcomes with Nonignorable Nonresponse	1998	Andrea Rotnitzky James M. Robins Daniel O. Scharfstein
+	Semiparametric Regression for Repeated Outcomes with Nonignorable Nonresponse	1998	Andrea Rotnitzky James M. Robins Daniel O. Scharfstein
+	Efficient estimation of regression parameters from multistage studies with validation of outcome and covariates	1997	Christina Holcroft Andrea Rotnitzky James M. Robins
+	Efficiency Comparisons in Multivariate Multiple Regression with Missing Outcomes	1997	Andrea Rotnitzky Christina Holcroft James M. Robins
+	ANALYSIS OF SEMI-PARAMETRIC REGRESSION MODELS WITH NON-IGNORABLE NON-RESPONSE	1997	Andrea Rotnitzky James M. Robins
+	Semiparametric Regression Estimation in the Presence of Dependent Censoring	1995	Andrea Rotnitzky James M. Robins
+	Semiparametric Efficiency in Multivariate Regression Models with Missing Data	1995	James M. Robins Andrea Rotnitzky
+	Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data	1995	James M. Robins Andrea Rotnitzky Lue Ping Zhao
+	Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data	1995	James M. Robins Andrea Rotnitzky Lue Ping Zhao
+	Semiparametric Efficiency in Multivariate Regression Models with Missing Data	1995	James M. Robins Andrea Rotnitzky
+	Semi-parametric estimation of models for the means and covariances in the presence of missing data	1995	JM Robins Andrea Rotnitzky
+	Semiparametric regression estimation in the presence of dependent censoring	1995	Andrea Rotnitzky James M. Robins
+	A Note on the Bias of Estimators with Missing Data	1994	Andrea Rotnitzky David Wypij
+	Estimation of Regression Coefficients When Some Regressors are not Always Observed	1994	James M. Robins Andrea Rotnitzky Lue Ping Zhao
+	Estimation of Regression Coefficients When Some Regressors Are Not Always Observed	1994	James M. Robins Andrea Rotnitzky Lue Ping Zhao
+ PDF Chat	Regression Models for Discrete Longitudinal Responses	1993	Garrett M. Fitzmaurice Nan M. Laird Andrea Rotnitzky
+ PDF Chat	[Regression Models for Discrete Longitudinal Responses]: Rejoinder	1993	Garrett M. Fitzmaurice Nan M. Laird Andrea Rotnitzky
+	Recovery of Information and Adjustment for Dependent Censoring Using Surrogate Markers	1992	James M. Robins Andrea Rotnitzky
+	Hypothesis Testing of Regression Parameters in Semiparametric Generalized Linear Models for Cluster Correlated Data	1990	Andrea Rotnitzky Nicholas P. Jewell
+	Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data	1990	Andrea Rotnitzky Nicholas P. Jewell

Common Coauthors

Coauthor	Papers Together
James M. Robins	48
Ezequiel Smucler	13
Daniel O. Scharfstein	12
Lue Ping Zhao	4
Mariela Sued	4
Xihong Lin	3
Garrett M. Fitzmaurice	3
Liliana Orellana	3
Eric J. Tchetgen Tchetgen	3
Nicholas P. Jewell	3
Peter B. Gilbert	3
Facundo Sapienza	3
Lu Wang	3
D. R. Cox	2
Nan M. Laird	2
Matteo Bottai	2
Christina Holcroft	2
Mark van der Laan	2
Lucía Babino	2
Emilija Perković	2
Andrés Farall	2
Enrique F. Schisterman	2
Stijn Vansteelandt	2
Yannis Jemiai	2
Randall E. Millikan	2
Zach Shahn	2
Bryan E. Shepherd	2
Marco Carone	2
Peter F. Thall	2
James M. Robins	2
Andrea Bergesio	2
Quanhong Lei-Gomez	2
Roderick J. A. Little	1
Julie L. Daniels	1
F Richard Guo	1
Miguel A. Hernán	1
Jillian Hogan	1
John T. Farrar	1
F. Richard Guo	1
Scott S. Emerson	1
Anna Elias-Warren	1
Lin Liu	1
Lin Liu	1
Li L	1
Xiaoming Li	1
Thomas S. Richardson	1
John H. Page	1
Xuesong Yu	1
Michael L. Cohen	1
Qian Lei	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Recovery of Information and Adjustment for Dependent Censoring Using Surrogate Markers	1992	James M. Robins Andrea Rotnitzky	23
+	A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect	1986	James M. Robins	20
+	Estimation of Regression Coefficients When Some Regressors are not Always Observed	1994	James M. Robins Andrea Rotnitzky Lue Ping Zhao	19
+	Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models	1999	Daniel O. Scharfstein Andrea Rotnitzky James M. Robins	18
+	Semiparametric efficiency bounds	1990	Whitney K. Newey	16
+	Inference and missing data	1976	Donald B. Rubin	16
+	Statistical Analysis With Missing Data	1989	Maureen Lahiff Roderick J. A. Little Donald B. Rubin	14
+	Doubly Robust Estimation in Missing Data and Causal Inference Models	2005	Heejung Bang James M. Robins	13
+	Asymptotic efficiency in estimation with conditional moment restrictions	1987	Gary Chamberlain	13
+	Semiparametric Efficiency in Multivariate Regression Models with Missing Data	1995	James M. Robins Andrea Rotnitzky	13
+	Unified Methods for Censored Longitudinal Data and Causality	2003	Mark J. van der Laan James M. Robins	13
+	Coarsening at Random: Characterizations, Conjectures, Counter-Examples	1997	Richard D. Gill Mark J. van der Laan James M. Robins	12
+	Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models	2000	James M. Robins Andrea Rotnitzky Daniel O. Scharfstein	12
+	Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data	1995	James M. Robins Andrea Rotnitzky Lue Ping Zhao	11
+	Optimal Structural Nested Models for Optimal Sequential Decisions	2004	James M. Robins	11
+ PDF Chat	Ignorability and Coarse Data	1991	Daniel F. Heitjan Donald B. Rubin	11
+ PDF Chat	Information and Asymptotic Efficiency in Parametric-Nonparametric Models	1983	Janet M. Begun William J. Hall Weimin Huang Jon A. Wellner	11
+	Statistical Models in Epidemiology, the Environment, and Clinical Trials	2000	M. Elizabeth Halloran Donald A. Berry	10
+	Longitudinal data analysis using generalized linear models	1986	Kung‐Yee Liang Scott L. Zeger	10
+	Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part I: Main Content	2010	Liliana Orellana Andrea Rotnitzky James M. Robins	10
+	TOWARD A CURSE OF DIMENSIONALITY APPROPRIATE (CODA) ASYMPTOTIC THEORY FOR SEMI‐PARAMETRIC MODELS	1997	James M. Robins Ya’acov Ritov	9
+	TOWARD A CURSE OF DIMENSIONALITY APPROPRIATE (CODA) ASYMPTOTIC THEORY FOR SEMI-PARAMETRIC MODELS	1997	James M. Robins Ya’acov Ritov	9
+	Semiparametric Regression for Repeated Outcomes with Nonignorable Nonresponse	1998	Andrea Rotnitzky James M. Robins Daniel O. Scharfstein	9
+	Estimating Exposure Effects by Modelling the Expectation of Exposure Conditional on Confounders	1992	James M. Robins Steven D. Mark Whitney K. Newey	9
+	Estimation in Large Samples	1988	Michael Woodroofe	9
+	Estimates of marginal survival for dependent competing risks based on an assumed copula	1995	Min Zheng JP Klein	8
+	Bounds on Net Survival Probabilities for Dependent Competing Risks	1988	John P. Klein Melvin L. Moeschberger	8
+	Addendum to “a new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect”	1987	James M. Robins	8
+	Marginal Structural Models versus Structural nested Models as Tools for Causal inference	2000	James M. Robins	8
+	Dependent competing risks and summary survival curves	1983	Eric Slud Larry Rubinstein	8
+	NON-RESPONSE MODELS FOR THE ANALYSIS OF NON-MONOTONE IGNORABLE MISSING DATA	1997	James M. Robins Richard D. Gill	8
+ PDF Chat	Optimal Dynamic Treatment Regimes	2003	Susan A. Murphy	8
+	Semiparametric regression estimation in the presence of dependent censoring	1995	Andrea Rotnitzky James M. Robins	8
+	ANALYSIS OF SEMI-PARAMETRIC REGRESSION MODELS WITH NON-IGNORABLE NON-RESPONSE	1997	Andrea Rotnitzky James M. Robins	7
+	Estimation and extrapolation of optimal treatment and testing strategies	2008	James M. Robins Liliana Orellana Andrea Rotnitzky	7
+	A class of pattern-mixture models for normal incomplete data	1994	Roderick J. A. Little	7
+	Informative Drop-Out in Longitudinal Data Analysis	1994	Peter J. Diggle Michael G. Kenward	7
+	A Distributional Approach for Causal Inference Using Propensity Scores	2006	Zhiqiang Tan	7
+	A self-consistent estimator of marginal survival functions based on dependent competing risk data and an assumed copula	1994	Ming Zheng John P. Klein	7
+	Correcting for non-compliance in randomized trials using structural nested mean models	1994	James M. Robins	7
+	An analytic method for randomized trials with informative censoring: Part 1	1995	James M. Robins	6
+ PDF Chat	Causal Effect Models for Realistic Individualized Treatment and Intention to Treat Rules	2007	Mark J. van der Laan Maya Petersen	6
+ PDF Chat	On Differentiable Functionals	1991	Aad van der Vaart	6
+ PDF Chat	Marginal Mean Models for Dynamic Regimes	2001	Susan A. Murphy Mark J. van der Laan James M. Robins	6
+	Efficient and Adaptive Estimation for Semiparametric Models.	1994	Anton Schίck Peter J. Bickel Chris A. J. Klaassen Ya’acov Ritov Jon A. Wellner	6
+	Inference for imputation estimators	2000	James M. Robins Naisyin Wang	5
+	Inference from Nonrandomly Missing Categorical Data: An Example from a Genetic Study on Turner's Syndrome	1984	Erik V. Nordheim	5
+ PDF Chat	Targeted Maximum Likelihood Learning	2006	Mark J. van der Laan Daniel B. Rubin	5
+	Locally Efficient Estimation with Current Status Data and Time-Dependent Covariates	1998	Mark J. van der Laan James M. Robins	5
+	On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects	1998	Jinyong Hahn	5