Daniel O. Scharfstein

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All published works
Action Title Year Authors
+ Irregular assessment times in pragmatic randomized clinical trials 2024 Andrea Apter
Frances K. Barg
Sanjib Basu
Alex D. Federman
Winifred J. Hamilton
Jerry A. Krishnan
Tianjing Li
Russell Localio
Christine Pindle
Daniel O. Scharfstein
+ Semiparametric sensitivity analysis: unmeasured confounding in observational studies 2024 Razieh Nabi
Matteo Bonvini
Edward H. Kennedy
Ming‐Yueh Huang
Marcela C. Smid
Daniel O. Scharfstein
+ Semi-parametric sensitivity analysis for trials with irregular and informative assessment times 2024 Bonnie G. Smith
Y. S. Gao
Shu Yang
Ravi Varadhan
Andrea J. Apter
Daniel O. Scharfstein
+ PDF Chat Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects 2024 Trang Quynh Nguyen
Elizabeth A. Stuart
Daniel O. Scharfstein
Elizabeth L. Ogburn
+ Predictors of urine toxicology and other biologic specimen missingness in randomized trials of substance use disorders 2024 A. Taylor Kelley
Michael Incze
Michael Baumgärtner
Aimee Campbell
Edward V. Nunes
Daniel O. Scharfstein
+ PDF Chat Addressing the Influence of Unmeasured Confounding in Observational Studies with Time-to-Event Outcomes: A Semiparametric Sensitivity Analysis Approach 2024 Linda Amoafo
Elizabeth A. Platz
Daniel O. Scharfstein
+ PDF Chat Estimands in Real-World Evidence Studies 2023 Jie Chen
Daniel O. Scharfstein
Hongwei Wang
Binbing Yu
Yang Song
Weili He
James G. Scott
Xiwu Lin
Hana Lee
+ Using Trial and Observational Data to Assess Effectiveness: Trial Emulation, Transportability, Benchmarking, and Joint Analysis 2023 Issa J Dahabreh
Anthony Matthews
Jon A. Steingrimsson
Daniel O. Scharfstein
Elizabeth A. Stuart
+ Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects 2023 Trang Quynh Nguyen
Elizabeth A. Stuart
Daniel O. Scharfstein
Elizabeth L. Ogburn
+ Estimands in Real-World Evidence Studies 2023 Jie Chen
Daniel O. Scharfstein
Hongwei Wang
Binbing Yu
Yang Song
Weili He
James G. Scott
Xiwu Lin
Hana Lee
+ Semi-Parametric Sensitivity Analysis for Trials with Irregular and Informative Assessment Times 2022 Bonnie G. Smith
Shu Yang
Andrea J. Apter
Daniel O. Scharfstein
+ Randomized Trials With Repeatedly Measured Outcomes: Handling Irregular and Potentially Informative Assessment Times 2022 Eleanor Pullenayegum
Daniel O. Scharfstein
+ Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang 2021 Isabel Fulcher
Ilya Shpitser
Vanessa Didelez
Kali Zhou
Daniel O. Scharfstein
+ Time to Event Data 2021 Daniel O. Scharfstein
Yuxin Zhu
Anastasios A. Tsiatis
+ PDF Chat Rejoinder: Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes 2021 David Benkeser
IvĂĄn DĂ­az
Alex Luedtke
Jodi B Segal
Daniel O. Scharfstein
Michael Rosenblum
+ Sensitivity Analysis for Binary Missing Data [R package salbm version 1.0] 2021 Daniel O. Scharfstein
Aidan McDermott
+ Markov-Restricted Analysis of Randomized Trials with Non-Monotone Missing Binary Outcomes: Sensitivity Analysis and Identification Results 2021 Daniel O. Scharfstein
Jaron J. R. Lee
Aidan McDermott
Aimee N. C. Campbell
Edward V. Nunes
Abigail Matthews
Ilya Shpitser
+ A structured methodology review showed analyses of functional outcomes are frequently limited to “survivors only” in trials enrolling patients at high risk of death 2021 Elizabeth Colantuoni
Ximin Li
Mohamed D. Hashem
Timothy D. Girard
Daniel O. Scharfstein
Dale M. Needham
+ Global sensitivity analysis of randomized trials with nonmonotone missing binary outcomes: Application to studies of substance use disorders 2021 Daniel O. Scharfstein
Jon A. Steingrimsson
Aidan McDermott
Chenguang Wang
Souvik Ray
Aimee Campbell
Edward V. Nunes
Abigail Matthews
+ Markov-Restricted Analysis of Randomized Trials with Non-Monotone Missing Binary Outcomes: Sensitivity Analysis and Identification Results 2021 Daniel O. Scharfstein
Jaron J. R. Lee
Aidan McDermott
Aimee N. C. Campbell
Edward V. Nunes
Abigail G. Matthews
Ilya Shpitser
+ Semiparametric Sensitivity Analysis: Unmeasured Confounding In Observational Studies 2021 Daniel O. Scharfstein
Razieh Nabi
Edward H. Kennedy
Ming‐Yueh Huang
Matteo Bonvini
Marcela C. Smid
+ PDF Chat Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes 2020 David Benkeser
IvĂĄn DĂ­az
Alex Luedtke
Jodi B Segal
Daniel O. Scharfstein
Michael Rosenblum
+ Brand <i>versus</i> Generic: Addressing Non-Adherence, Secular Trends and Non-Overlap 2020 Lamar Hunt
Irene B. Murimi
Jodi B Segal
Marissa J. Seamans
Daniel O. Scharfstein
and Ravi Varadhan
+ Improving Precision and Power in Randomized Trials for COVID-19 Treatments Using Covariate Adjustment, for Binary, Ordinal, and Time-to-Event Outcomes 2020 David Benkeser
IvĂĄn DĂ­az
Alex Luedtke
Jodi B Segal
Daniel O. Scharfstein
Michael Rosenblum
+ A Bayesian nonparametric approach for evaluating the causal effect of treatment in randomized trials with semi-competing risks 2020 Yanxun Xu
Daniel O. Scharfstein
Peter MĂźller
Michael J. Daniels
+ Causal Effects in Twin Studies: the Role of Interference 2020 Bonnie G. Smith
Elizabeth L. Ogburn
Matt McGue
Saonli Basu
Daniel O. Scharfstein
+ New Methods and Software to Determine the Impact of Missing Data in Clinical Trials 2019 Daniel O. Scharfstein
Aidan McDermott
Elizabeth Stuart
Tianjing Li
Chenguang Wang
+ Causal inference for comprehensive cohort studies 2019 Yi Lu
Daniel O. Scharfstein
Maria M. Brooks
Kevin Quach
Edward H. Kennedy
+ PDF Chat Global identifiability of latent class models with applications to diagnostic test accuracy studies: A GrĂśbner basis approach 2019 Rui Duan
Ming Cao
Yang Ning
Mingfu Zhu
Bin Zhang
Aidan McDermott
Haitao Chu
Xiao‐Hua Zhou
Jason H. Moore
Joseph G. Ibrahim
+ Bayesian inference for a principal stratum estimand to assess the treatment effect in a subgroup characterized by postrandomization event occurrence 2019 Baldur Magnusson
Heinz Schmidli
Nicolas Rouyrre
Daniel O. Scharfstein
+ Brand vs. Generic: Addressing Non-Adherence, Secular Trends, and Non-Overlap 2019 Lamar Hunt
Irene B. Murimi
Jodi B Segal
Marissa J. Seamans
Daniel O. Scharfstein
Ravi Varadhan
+ A Bayesian Nonparametric Approach for Evaluating the Causal Effect of Treatment in Randomized Trials with Semi-Competing Risks 2019 Yanxun Xu
Daniel O. Scharfstein
Peter MĂźller
Michael J. Daniels
+ Causal Inference for Comprehensive Cohort Studies 2019 Yi Lu
Daniel O. Scharfstein
Maria M. Brooks
Kevin Quach
Edward H. Kennedy
+ PDF Chat Global sensitivity analysis of clinical trials with missing patient-reported outcomes 2018 Daniel O. Scharfstein
Aidan McDermott
+ Cautions as Regulators Move to End Exclusive Reliance on Intention to Treat 2018 Miguel A. HernĂĄn
Daniel O. Scharfstein
+ PDF Chat Statistical methods to compare functional outcomes in randomized controlled trials with high mortality 2018 Elizabeth Colantuoni
Daniel O. Scharfstein
Chenguang Wang
Mohamed D. Hashem
Andrew Leroux
Dale M. Needham
Timothy D. Girard
+ Bayesian inference for a principal stratum estimand to assess the treatment effect in a subgroup characterized by post-randomization events 2018 Baldur Magnusson
Heinz Schmidli
Nicolas Rouyrre
Daniel O. Scharfstein
+ Comment on ‘Small sample GEE estimation of regression parameters for longitudinal data’ 2017 Nicola Lunardon
Daniel O. Scharfstein
+ Global Sensitivity Analysis for Repeated Measures Studies with Informative Drop-out: A Semi-parametric Approach 2017 Daniel O. Scharfstein
Aidan McDermott
IvĂĄn DĂ­az
Marco Carone
Nicola Lunardon
Ibrahim Turkoz
+ PDF Chat Inference in Randomized Trials with Death and Missingness 2016 Chenguang Wang
Daniel O. Scharfstein
Elizabeth Colantuoni
Timothy D. Girard
Ying Yan
+ 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
+ PDF Chat Global Sensitivity Analysis for Repeated Measures Studies With Informative Dropout: A Fully Parametric Approach 2014 Daniel O. Scharfstein
Aidan McDermott
William H. Olson
Frank Wiegand
+ PDF Chat Estimation of treatment effects in matched‐pair cluster randomized trials by calibrating covariate imbalance between clusters 2014 Zhenke Wu
Constantine Frangakis
Thomas A. Louis
Daniel O. Scharfstein
+ Prospective EHR-Based Clinical Trials: The Challenge of Missing Data 2014 Hadi Kharrazi
Chenguang Wang
Daniel O. Scharfstein
+ 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
+ Observational Studies in the Era of Randomized Trials 2012 Renan C. Castillo
Daniel O. Scharfstein
Ellen J. MacKenzie
+ PDF Chat Analysis of Subgroup Effects in Randomized Trials When Subgroup Membership is Missing: Application to the Second Multicenter Automatic Defibrillator Intervention Trial 2011 Daniel O. Scharfstein
Georgiana Onicescu
Steven N. Goodman
Rachel J. Whitaker
+ PDF Chat A Bayesian Shrinkage Model for Incomplete Longitudinal Binary Data With Application to the Breast Cancer Prevention Trial 2010 Claire Wang
Michael J. Daniels
Daniel O. Scharfstein
Stephanie R. Land
+ Evaluating Health Outcomes in the Presence of Competing Risks 2010 Ravi Varadhan
Carlos O. Weiss
Jodi B Segal
Albert W. Wu
Daniel O. Scharfstein
Cynthia M. Boyd
+ The Prevention and Treatment of Missing Data in Clinical Trials. Pannel on Handling Missing Data in Clinical Trials 2010 Roderick J. A. Little
Ralph B. D’Agostino
Kay Dickersin
Scott S. Emerson
John T. Farrar
Constantine Frangakis
Joseph W. Hogan
Geert Molenberghs
Susan A. Murphy
James D. Neaton
+ Causal Inference in Outcome-Dependent Two-Phase Sampling Designs 2009 Weiwei Wang
Daniel O. Scharfstein
Zhiqiang Tan
Ellen J. MacKenzie
+ Global Sensitivity Analysis for Randomized Trials with Informative Dropout: A Semiparametric Perspective 2009 Daniel O. Scharfstein
Aristide Achy‐Brou
+ Sensitivity Analysis Using Elicited Expert Information for Inference With Coarsened Data: Illustration of Censored Discrete Event Times in the AIDS Link to Intravenous Experience (ALIVE) Study 2008 Michelle Shardell
Daniel O. Scharfstein
David Vlahov
Noya Galai
+ PDF Chat Inference for cumulative incidence functions with informatively coarsened discrete event‐time data 2008 Michelle Shardell
Daniel O. Scharfstein
David Vlahov
Noya Galai
+ Causal Inference in Observational Studies with Outcome-Dependent Sampling 2008 Weiwei Wang
Daniel O. Scharfstein
Zhiqiang Tan
Ellen J. MacKenzie
+ ANALYSIS OF SUBGROUP EFFECTS IN RANDOMIZED TRIALS WHEN SUBGROUP MEMBERSHIP IS INFORMATIVELY MISSING: APPLICATION TO THE MADIT II STUDY 2008 Daniel O. Scharfstein
Georgiana Onicescu
Steven N. Goodman
+ Accounting for within‐patient correlation in assessing relative sensitivity of an adjunctive diagnostic test: Application to lung cancer 2007 Daniel O. Scharfstein
Jennifer L. Ryea
Brian Caffo
+ PDF Chat Analysis of Failure Time Data Under Competing Censoring Mechanisms 2007 Andrea Rotnitzky
AndrĂŠs Farall
Andrea Bergesio
Daniel O. Scharfstein
+ SEMIPARAMETRIC BIVARIATE QUANTILE-QUANTILE REGRESSION FOR ANALYZING SEMI-COMPETING RISKS DATA 2007 Daniel O. Scharfstein
James M. Robins
Mark van der Laan
+ INFERENCE FOR SURVIVAL CURVES WITH INFORMATIVELY COARSENED DISCRETE EVENT-TIME DATA: APPLICATION TO ALIVE 2007 Michelle Shardell
Daniel O. Scharfstein
David Vlahov
Noya Galai
+ PDF Chat On the potential for illogic with logically defined outcomes 2006 X. Li
Brian Caffo
Daniel O. Scharfstein
+ Survival curve estimation for informatively coarsened discrete event‐time data 2006 Michelle Shardell
Daniel O. Scharfstein
Samuel A. Bozzette
+ PDF Chat Causal inference for non-mortality outcomes in the presence of death 2006 Brian L. Egleston
Daniel O. Scharfstein
Ellen E. Freeman
Sheila K. West
+ PDF Chat On estimation of vaccine efficacy using validation samples with selection bias 2006 Daniel O. Scharfstein
+ PDF Chat Analysis of Longitudinal Data with Irregular, Outcome-Dependent Follow-Up 2004 Haiqun Lin
Daniel O. Scharfstein
Robert A. Rosenheck
+ On the Construction of Bounds in Prospective Studies with Missing Ordinal Outcomes: Application to the Good Behavior Game Trial 2004 Daniel O. Scharfstein
Charles F. Manski
James C. Anthony
+ Sensitivity Analysis for Informatively Interval-Censored Discrete Time-to-Event Data 2004 Michelle Shardell
Daniel O. Scharfstein
Noya Galai
David Vlahov
Samuel A. Bozzette
+ PDF Chat Incorporating prior beliefs about selection bias into the analysis of randomized trials with missing outcomes 2003 Daniel O. Scharfstein
Michael J. Daniels
James M. Robins
+ Generalized Additive Selection Models for the Analysis of Studies with Potentially Nonignorable Missing Outcome Data 2003 Daniel O. Scharfstein
Rafael A. Irizarry
+ Estimation of the failure time distribution in the presence of informative censoring 2002 Daniel O. Scharfstein
James M. Robins
+ Inference in Randomized Studies with Informative Censoring and Discrete Time‐to‐Event Endpoints 2001 Daniel O. Scharfstein
James M. Robins
Wesley Eddings
Andrea Rotnitzky
+ 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
+ Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models 2000 James M. Robins
Andrea Rotnitzky
Daniel O. Scharfstein
+ 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
+ The use of simulation and bootstrap in information-based group sequential studies 1998 Daniel O. Scharfstein
Anastasios A. Tsiatis
+ PDF Chat The use of simulation and bootstrap in information‐based group sequential studies 1998 Daniel O. Scharfstein
Anastasios A. Tsiatis
+ Semiparametric efficient estimation in the generalized odds-rate class of regression models for right-censored time-to-event data. 1998 Daniel O. Scharfstein
Anastasios A. Tsiatis
Peter B. Gilbert
+ Semiparametric Efficiency and its Implication on the Design and Analysis of Group-Sequential Studies 1997 Daniel O. Scharfstein
Anastasios A. Tsiatis
James M. Robins
+ Semiparametric Efficiency and Its Implication on the Design and Analysis of Group-Sequential Studies 1997 Daniel O. Scharfstein
Anastasios A. Tsiatis
James M. Robins
+ Statistical model for fetal death, fetal weight, and malformation in developmental toxicity studies 1993 Paul J. Catalano
Daniel O. Scharfstein
Louise Ryan
Carole A. Kimmel
Gary L. Kimmel
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Semiparametric Regression for Repeated Outcomes with Nonignorable Nonresponse 1998 Andrea Rotnitzky
James M. Robins
Daniel O. Scharfstein
16
+ Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models 1999 Daniel O. Scharfstein
Andrea Rotnitzky
James M. Robins
15
+ Inference and missing data 1976 Donald B. Rubin
12
+ NON-RESPONSE MODELS FOR THE ANALYSIS OF NON-MONOTONE IGNORABLE MISSING DATA 1997 James M. Robins
Richard D. Gill
12
+ Estimating causal effects of treatments in randomized and nonrandomized studies. 1974 Donald B. Rubin
12
+ Estimation of Regression Coefficients When Some Regressors are not Always Observed 1994 James M. Robins
Andrea Rotnitzky
Lue Ping Zhao
11
+ Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models 2000 James M. Robins
Andrea Rotnitzky
Daniel O. Scharfstein
11
+ 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
11
+ PDF Chat Ignorability and Coarse Data 1991 Daniel F. Heitjan
Donald B. Rubin
10
+ Informative Drop-Out in Longitudinal Data Analysis 1994 Peter J. Diggle
Michael G. Kenward
10
+ TOWARD A CURSE OF DIMENSIONALITY APPROPRIATE (CODA) ASYMPTOTIC THEORY FOR SEMI‐PARAMETRIC MODELS 1997 James M. Robins
Ya’acov Ritov
10
+ Statistical Analysis With Missing Data 1989 Maureen Lahiff
Roderick J. A. Little
Donald B. Rubin
10
+ Semiparametric efficiency bounds 1990 Whitney K. Newey
10
+ TOWARD A CURSE OF DIMENSIONALITY APPROPRIATE (CODA) ASYMPTOTIC THEORY FOR SEMI-PARAMETRIC MODELS 1997 James M. Robins
Ya’acov Ritov
9
+ PDF Chat Pattern-Mixture Models for Multivariate Incomplete Data 1993 Roderick J. A. Little
9
+ Coarsening at Random: Characterizations, Conjectures, Counter-Examples 1997 Richard D. Gill
Mark J. van der Laan
James M. Robins
9
+ 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
9
+ PDF Chat Principal Stratification in Causal Inference 2002 Constantine Frangakis
Donald B. Rubin
9
+ Unified Methods for Censored Longitudinal Data and Causality 2003 Mark J. van der Laan
James M. Robins
9
+ Nonparametric Estimation from Incomplete Observations 1992 Edward L. Kaplan
Paul Meier
9
+ 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
9
+ A class of pattern-mixture models for normal incomplete data 1994 Roderick J. A. Little
8
+ Pattern–Mixture and Selection Models for Analysing Longitudinal Data with Monotone Missing Patterns 2003 Jolene Birmingham
Andrea Rotnitzky
Garrett M. Fitzmaurice
8
+ PDF Chat The Prevention and Treatment of Missing Data in Clinical Trials 2010 National Research Council
8
+ Recovery of Information and Adjustment for Dependent Censoring Using Surrogate Markers 1992 James M. Robins
Andrea Rotnitzky
7
+ An analytic method for randomized trials with informative censoring: Part 1 1995 James M. Robins
7
+ Efficient and Adaptive Estimation for Semiparametric Models. 1994 ХРИСТОФОРОВ А.А.
Peter J. Bickel
Chris A. J. Klaassen
Ya’acov Ritov
Jon A. Wellner
7
+ NON-RESPONSE MODELS FOR THE ANALYSIS OF NON-MONOTONE NON-IGNORABLE MISSING DATA 1997 James M. Robins
7
+ Dependent competing risks and summary survival curves 1983 Eric Slud
Larry Rubinstein
7
+ Bounds on Net Survival Probabilities for Dependent Competing Risks 1988 John P. Klein
Melvin L. Moeschberger
7
+ Estimates of marginal survival for dependent competing risks based on an assumed copula 1995 Min Zheng
JP Klein
7
+ PDF Chat Incorporating prior beliefs about selection bias into the analysis of randomized trials with missing outcomes 2003 Daniel O. Scharfstein
Michael J. Daniels
James M. Robins
6
+ PDF Chat The Empirical Distribution Function with Arbitrarily Grouped, Censored and Truncated Data 1976 Bruce W. Turnbull
6
+ Inference from Nonrandomly Missing Categorical Data: An Example from a Genetic Study on Turner's Syndrome 1984 Erik V. Nordheim
6
+ A self-consistent estimator of marginal survival functions based on dependent competing risk data and an assumed copula 1994 Ming Zheng
John P. Klein
6
+ Ignorability and Coarse Data: Some Biomedical Examples 1993 Daniel F. Heitjan
6
+ Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm 1977 A. P. Dempster
N. M. Laird
Donald B. Rubin
6
+ Finding the Observed Information Matrix When Using the <i>EM</i> Algorithm 1982 Thomas A. Louis
5
+ Estimation and Comparison of Changes in the Presence of Information Right Censoring by Modeling the Censoring Process. 1987 Margaret Wu
Raymond J. Carroll
5
+ Closed‐form estimates for missing counts in two‐way contingency tables 1992 Stuart G. Baker
William F. Rosenberger
Rebecca DerSimonian
5
+ ANALYSIS OF SEMI-PARAMETRIC REGRESSION MODELS WITH NON-IGNORABLE NON-RESPONSE 1997 Andrea Rotnitzky
James M. Robins
5
+ PDF Chat Estimation of Regression Models for the Mean of Repeated Outcomes Under Nonignorable Nonmonotone Nonresponse 2007 Stijn Vansteelandt
Andrea Rotnitzky
James M. Robins
5
+ Estimation of Causal Effects via Principal Stratification When Some Outcomes are Truncated by “Death” 2003 Junni L. Zhang
Donald B. Rubin
5
+ Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review 1996 Mary Kathryn Cowles
Bradley P. Carlin
5
+ Modeling the Drop-Out Mechanism in Repeated-Measures Studies 1995 Roderick J. A. Little
5
+ Efficient and Adaptive Estimation for Semiparametric Models. 1994 Anton SchÎŻck
Peter J. Bickel
Chris A. J. Klaassen
Ya’acov Ritov
Jon A. Wellner
5
+ Estimands in clinical trials – broadening the perspective 2016 Mouna Akacha
Frank Bretz
Stephen J. Ruberg
5
+ Asymptotic Statistics 1998 Aad van der Vaart
4
+ Estimating causal effects from epidemiological data 2006 Miguel A. HernĂĄn
4
+ Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data 1995 James M. Robins
Andrea Rotnitzky
Lue Ping Zhao
4