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Irregular assessment times in pragmatic randomized clinical trials
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2024
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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
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+
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Semiparametric sensitivity analysis: unmeasured confounding in observational studies
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2024
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Razieh Nabi
Matteo Bonvini
Edward H. Kennedy
MingâYueh Huang
Marcela C. Smid
Daniel O. Scharfstein
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Semi-parametric sensitivity analysis for trials with irregular and informative assessment times
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2024
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Bonnie G. Smith
Y. S. Gao
Shu Yang
Ravi Varadhan
Andrea J. Apter
Daniel O. Scharfstein
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Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects
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2024
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Trang Quynh Nguyen
Elizabeth A. Stuart
Daniel O. Scharfstein
Elizabeth L. Ogburn
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Predictors of urine toxicology and other biologic specimen missingness in randomized trials of substance use disorders
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2024
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A. Taylor Kelley
Michael Incze
Michael Baumgärtner
Aimee Campbell
Edward V. Nunes
Daniel O. Scharfstein
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Addressing the Influence of Unmeasured Confounding in Observational
Studies with Time-to-Event Outcomes: A Semiparametric Sensitivity Analysis
Approach
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2024
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Linda Amoafo
Elizabeth A. Platz
Daniel O. Scharfstein
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Estimands in Real-World Evidence Studies
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2023
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Jie Chen
Daniel O. Scharfstein
Hongwei Wang
Binbing Yu
Yang Song
Weili He
James G. Scott
Xiwu Lin
Hana Lee
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Using Trial and Observational Data to Assess Effectiveness: Trial Emulation, Transportability, Benchmarking, and Joint Analysis
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2023
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Issa J Dahabreh
Anthony Matthews
Jon A. Steingrimsson
Daniel O. Scharfstein
Elizabeth A. Stuart
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Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects
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2023
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Trang Quynh Nguyen
Elizabeth A. Stuart
Daniel O. Scharfstein
Elizabeth L. Ogburn
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Estimands in Real-World Evidence Studies
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2023
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Jie Chen
Daniel O. Scharfstein
Hongwei Wang
Binbing Yu
Yang Song
Weili He
James G. Scott
Xiwu Lin
Hana Lee
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+
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Semi-Parametric Sensitivity Analysis for Trials with Irregular and Informative Assessment Times
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2022
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Bonnie G. Smith
Shu Yang
Andrea J. Apter
Daniel O. Scharfstein
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Randomized Trials With Repeatedly Measured Outcomes: Handling Irregular and Potentially Informative Assessment Times
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2022
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Eleanor Pullenayegum
Daniel O. Scharfstein
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Discussion on âCausal mediation of semicompeting risksâ by YenâTsung Huang
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2021
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Isabel Fulcher
Ilya Shpitser
Vanessa Didelez
Kali Zhou
Daniel O. Scharfstein
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+
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Time to Event Data
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2021
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Daniel O. Scharfstein
Yuxin Zhu
Anastasios A. Tsiatis
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PDF
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Rejoinder: Improving precision and power in randomized trials for COVIDâ19 treatments using covariate adjustment, for binary, ordinal, and timeâtoâevent outcomes
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2021
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David Benkeser
IvĂĄn DĂaz
Alex Luedtke
Jodi B Segal
Daniel O. Scharfstein
Michael Rosenblum
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Sensitivity Analysis for Binary Missing Data [R package salbm version 1.0]
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2021
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Daniel O. Scharfstein
Aidan McDermott
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+
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Markov-Restricted Analysis of Randomized Trials with Non-Monotone Missing Binary Outcomes: Sensitivity Analysis and Identification Results
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2021
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Daniel O. Scharfstein
Jaron J. R. Lee
Aidan McDermott
Aimee N. C. Campbell
Edward V. Nunes
Abigail Matthews
Ilya Shpitser
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A structured methodology review showed analyses of functional outcomes are frequently limited to âsurvivors onlyâ in trials enrolling patients at high risk of death
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2021
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Elizabeth Colantuoni
Ximin Li
Mohamed D. Hashem
Timothy D. Girard
Daniel O. Scharfstein
Dale M. Needham
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Global sensitivity analysis of randomized trials with nonmonotone missing binary outcomes: Application to studies of substance use disorders
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2021
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Daniel O. Scharfstein
Jon A. Steingrimsson
Aidan McDermott
Chenguang Wang
Souvik Ray
Aimee Campbell
Edward V. Nunes
Abigail Matthews
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+
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Markov-Restricted Analysis of Randomized Trials with Non-Monotone Missing Binary Outcomes: Sensitivity Analysis and Identification Results
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2021
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Daniel O. Scharfstein
Jaron J. R. Lee
Aidan McDermott
Aimee N. C. Campbell
Edward V. Nunes
Abigail G. Matthews
Ilya Shpitser
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+
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Semiparametric Sensitivity Analysis: Unmeasured Confounding In Observational Studies
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2021
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Daniel O. Scharfstein
Razieh Nabi
Edward H. Kennedy
MingâYueh Huang
Matteo Bonvini
Marcela C. Smid
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+
PDF
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Improving precision and power in randomized trials for COVIDâ19 treatments using covariate adjustment, for binary, ordinal, and timeâtoâevent outcomes
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2020
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David Benkeser
IvĂĄn DĂaz
Alex Luedtke
Jodi B Segal
Daniel O. Scharfstein
Michael Rosenblum
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Brand <i>versus</i> Generic: Addressing Non-Adherence, Secular Trends and Non-Overlap
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2020
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Lamar Hunt
Irene B. Murimi
Jodi B Segal
Marissa J. Seamans
Daniel O. Scharfstein
and Ravi Varadhan
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+
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Improving Precision and Power in Randomized Trials for COVID-19 Treatments Using Covariate Adjustment, for Binary, Ordinal, and Time-to-Event Outcomes
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2020
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David Benkeser
IvĂĄn DĂaz
Alex Luedtke
Jodi B Segal
Daniel O. Scharfstein
Michael Rosenblum
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+
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A Bayesian nonparametric approach for evaluating the causal effect of treatment in randomized trials with semi-competing risks
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2020
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Yanxun Xu
Daniel O. Scharfstein
Peter MĂźller
Michael J. Daniels
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Causal Effects in Twin Studies: the Role of Interference
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2020
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Bonnie G. Smith
Elizabeth L. Ogburn
Matt McGue
Saonli Basu
Daniel O. Scharfstein
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New Methods and Software to Determine the Impact of Missing Data in Clinical Trials
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2019
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Daniel O. Scharfstein
Aidan McDermott
Elizabeth Stuart
Tianjing Li
Chenguang Wang
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Causal inference for comprehensive cohort studies
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2019
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Yi Lu
Daniel O. Scharfstein
Maria M. Brooks
Kevin Quach
Edward H. Kennedy
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PDF
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Global identifiability of latent class models with applications to diagnostic test accuracy studies: A GrĂśbner basis approach
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2019
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Rui Duan
Ming Cao
Yang Ning
Mingfu Zhu
Bin Zhang
Aidan McDermott
Haitao Chu
XiaoâHua Zhou
Jason H. Moore
Joseph G. Ibrahim
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Bayesian inference for a principal stratum estimand to assess the treatment effect in a subgroup characterized by postrandomization event occurrence
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2019
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Baldur Magnusson
Heinz Schmidli
Nicolas Rouyrre
Daniel O. Scharfstein
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Brand vs. Generic: Addressing Non-Adherence, Secular Trends, and Non-Overlap
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2019
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Lamar Hunt
Irene B. Murimi
Jodi B Segal
Marissa J. Seamans
Daniel O. Scharfstein
Ravi Varadhan
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A Bayesian Nonparametric Approach for Evaluating the Causal Effect of Treatment in Randomized Trials with Semi-Competing Risks
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2019
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Yanxun Xu
Daniel O. Scharfstein
Peter MĂźller
Michael J. Daniels
|
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Causal Inference for Comprehensive Cohort Studies
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2019
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Yi Lu
Daniel O. Scharfstein
Maria M. Brooks
Kevin Quach
Edward H. Kennedy
|
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PDF
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Global sensitivity analysis of clinical trials with missing patient-reported outcomes
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2018
|
Daniel O. Scharfstein
Aidan McDermott
|
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Cautions as Regulators Move to End Exclusive Reliance on Intention to Treat
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2018
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Miguel A. HernĂĄn
Daniel O. Scharfstein
|
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PDF
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Statistical methods to compare functional outcomes in randomized controlled trials with high mortality
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2018
|
Elizabeth Colantuoni
Daniel O. Scharfstein
Chenguang Wang
Mohamed D. Hashem
Andrew Leroux
Dale M. Needham
Timothy D. Girard
|
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Bayesian inference for a principal stratum estimand to assess the treatment effect in a subgroup characterized by post-randomization events
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2018
|
Baldur Magnusson
Heinz Schmidli
Nicolas Rouyrre
Daniel O. Scharfstein
|
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Comment on âSmall sample GEE estimation of regression parameters for longitudinal dataâ
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2017
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Nicola Lunardon
Daniel O. Scharfstein
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+
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Global Sensitivity Analysis for Repeated Measures Studies with Informative Drop-out: A Semi-parametric Approach
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2017
|
Daniel O. Scharfstein
Aidan McDermott
IvĂĄn DĂaz
Marco Carone
Nicola Lunardon
Ibrahim Turkoz
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Inference in Randomized Trials with Death and Missingness
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2016
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Chenguang Wang
Daniel O. Scharfstein
Elizabeth Colantuoni
Timothy D. Girard
Ying Yan
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On the analysis of tuberculosis studies with intermittent missing sputum data
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2015
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Daniel O. Scharfstein
Andrea Rotnitzky
M. Roselle Abraham
Aidan McDermott
Richard E. Chaisson
Lawrence Geiter
|
+
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Global Sensitivity Analysis for Repeated Measures Studies With Informative Dropout: A Fully Parametric Approach
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2014
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Daniel O. Scharfstein
Aidan McDermott
William H. Olson
Frank Wiegand
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Estimation of treatment effects in matchedâpair cluster randomized trials by calibrating covariate imbalance between clusters
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2014
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Zhenke Wu
Constantine Frangakis
Thomas A. Louis
Daniel O. Scharfstein
|
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Prospective EHR-Based Clinical Trials: The Challenge of Missing Data
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2014
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Hadi Kharrazi
Chenguang Wang
Daniel O. Scharfstein
|
+
PDF
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The Prevention and Treatment of Missing Data in Clinical Trials
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2012
|
Roderick J. A. Little
Ralph B. DâAgostino
Michael L. Cohen
Kay Dickersin
Scott S. Emerson
John T. Farrar
Constantine Frangakis
Joseph W. Hogan
Geert Molenberghs
Susan A. Murphy
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+
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Observational Studies in the Era of Randomized Trials
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2012
|
Renan C. Castillo
Daniel O. Scharfstein
Ellen J. MacKenzie
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+
PDF
Chat
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Analysis of Subgroup Effects in Randomized Trials When Subgroup Membership is Missing: Application to the Second Multicenter Automatic Defibrillator Intervention Trial
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2011
|
Daniel O. Scharfstein
Georgiana Onicescu
Steven N. Goodman
Rachel J. Whitaker
|
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PDF
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A Bayesian Shrinkage Model for Incomplete Longitudinal Binary Data With Application to the Breast Cancer Prevention Trial
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2010
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Claire Wang
Michael J. Daniels
Daniel O. Scharfstein
Stephanie R. Land
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Evaluating Health Outcomes in the Presence of Competing Risks
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2010
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Ravi Varadhan
Carlos O. Weiss
Jodi B Segal
Albert W. Wu
Daniel O. Scharfstein
Cynthia M. Boyd
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The Prevention and Treatment of Missing Data in Clinical Trials. Pannel on Handling Missing Data in Clinical Trials
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2010
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Roderick J. A. Little
Ralph B. DâAgostino
Kay Dickersin
Scott S. Emerson
John T. Farrar
Constantine Frangakis
Joseph W. Hogan
Geert Molenberghs
Susan A. Murphy
James D. Neaton
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+
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Causal Inference in Outcome-Dependent Two-Phase Sampling Designs
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2009
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Weiwei Wang
Daniel O. Scharfstein
Zhiqiang Tan
Ellen J. MacKenzie
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Global Sensitivity Analysis for Randomized Trials with Informative Dropout: A Semiparametric Perspective
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2009
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Daniel O. Scharfstein
Aristide AchyâBrou
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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
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2008
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Michelle Shardell
Daniel O. Scharfstein
David Vlahov
Noya Galai
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PDF
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Inference for cumulative incidence functions with informatively coarsened discrete eventâtime data
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2008
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Michelle Shardell
Daniel O. Scharfstein
David Vlahov
Noya Galai
|
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Causal Inference in Observational Studies with Outcome-Dependent Sampling
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2008
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Weiwei Wang
Daniel O. Scharfstein
Zhiqiang Tan
Ellen J. MacKenzie
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ANALYSIS OF SUBGROUP EFFECTS IN RANDOMIZED TRIALS WHEN SUBGROUP MEMBERSHIP IS INFORMATIVELY MISSING: APPLICATION TO THE MADIT II STUDY
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2008
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Daniel O. Scharfstein
Georgiana Onicescu
Steven N. Goodman
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Accounting for withinâpatient correlation in assessing relative sensitivity of an adjunctive diagnostic test: Application to lung cancer
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2007
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Daniel O. Scharfstein
Jennifer L. Ryea
Brian Caffo
|
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PDF
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Analysis of Failure Time Data Under Competing Censoring Mechanisms
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2007
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Andrea Rotnitzky
AndrĂŠs Farall
Andrea Bergesio
Daniel O. Scharfstein
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SEMIPARAMETRIC BIVARIATE QUANTILE-QUANTILE REGRESSION FOR ANALYZING SEMI-COMPETING RISKS DATA
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2007
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Daniel O. Scharfstein
James M. Robins
Mark van der Laan
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INFERENCE FOR SURVIVAL CURVES WITH INFORMATIVELY COARSENED DISCRETE EVENT-TIME DATA: APPLICATION TO ALIVE
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2007
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Michelle Shardell
Daniel O. Scharfstein
David Vlahov
Noya Galai
|
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PDF
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On the potential for illogic with logically defined outcomes
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2006
|
X. Li
Brian Caffo
Daniel O. Scharfstein
|
+
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Survival curve estimation for informatively coarsened discrete eventâtime data
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2006
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Michelle Shardell
Daniel O. Scharfstein
Samuel A. Bozzette
|
+
PDF
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Causal inference for non-mortality outcomes in the presence of death
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2006
|
Brian L. Egleston
Daniel O. Scharfstein
Ellen E. Freeman
Sheila K. West
|
+
PDF
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On estimation of vaccine efficacy using validation samples with selection bias
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2006
|
Daniel O. Scharfstein
|
+
PDF
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Analysis of Longitudinal Data with Irregular, Outcome-Dependent Follow-Up
|
2004
|
Haiqun Lin
Daniel O. Scharfstein
Robert A. Rosenheck
|
+
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On the Construction of Bounds in Prospective Studies with Missing Ordinal Outcomes: Application to the Good Behavior Game Trial
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2004
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Daniel O. Scharfstein
Charles F. Manski
James C. Anthony
|
+
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Sensitivity Analysis for Informatively Interval-Censored Discrete Time-to-Event Data
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2004
|
Michelle Shardell
Daniel O. Scharfstein
Noya Galai
David Vlahov
Samuel A. Bozzette
|
+
PDF
Chat
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Incorporating prior beliefs about selection bias into the analysis of randomized trials with missing outcomes
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2003
|
Daniel O. Scharfstein
Michael J. Daniels
James M. Robins
|
+
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Generalized Additive Selection Models for the Analysis of Studies with Potentially Nonignorable Missing Outcome Data
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2003
|
Daniel O. Scharfstein
Rafael A. Irizarry
|
+
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Estimation of the failure time distribution in the presence of informative censoring
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2002
|
Daniel O. Scharfstein
James M. Robins
|
+
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Inference in Randomized Studies with Informative Censoring and Discrete TimeâtoâEvent Endpoints
|
2001
|
Daniel O. Scharfstein
James M. Robins
Wesley Eddings
Andrea Rotnitzky
|
+
PDF
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Methods for Conducting Sensitivity Analysis of Trials with Potentially Nonignorable Competing Causes of Censoring
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2001
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Andrea Rotnitzky
Daniel O. Scharfstein
TingâLi Su
James M. Robins
|
+
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Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models
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2000
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James M. Robins
Andrea Rotnitzky
Daniel O. Scharfstein
|
+
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Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
|
1999
|
Daniel O. Scharfstein
Andrea Rotnitzky
James M. Robins
|
+
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Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models: Rejoinder
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1999
|
Daniel O. Scharfstein
Andrea Rotnitzky
James M. Robins
|
+
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Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
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1999
|
Daniel O. Scharfstein
Andrea Rotnitzky
James M. Robins
|
+
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Rejoinder
|
1999
|
Daniel O. Scharfstein
Andrea Rotnitzky
James M. Robins
|
+
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Semiparametric Regression for Repeated Outcomes with Nonignorable Nonresponse
|
1998
|
Andrea Rotnitzky
James M. Robins
Daniel O. Scharfstein
|
+
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Semiparametric Regression for Repeated Outcomes with Nonignorable Nonresponse
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1998
|
Andrea Rotnitzky
James M. Robins
Daniel O. Scharfstein
|
+
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The use of simulation and bootstrap in information-based group sequential studies
|
1998
|
Daniel O. Scharfstein
Anastasios A. Tsiatis
|
+
PDF
Chat
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The use of simulation and bootstrap in informationâbased group sequential studies
|
1998
|
Daniel O. Scharfstein
Anastasios A. Tsiatis
|
+
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Semiparametric efficient estimation in the generalized odds-rate class of regression models for right-censored time-to-event data.
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1998
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Daniel O. Scharfstein
Anastasios A. Tsiatis
Peter B. Gilbert
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+
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Semiparametric Efficiency and its Implication on the Design and Analysis of Group-Sequential Studies
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1997
|
Daniel O. Scharfstein
Anastasios A. Tsiatis
James M. Robins
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+
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Semiparametric Efficiency and Its Implication on the Design and Analysis of Group-Sequential Studies
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1997
|
Daniel O. Scharfstein
Anastasios A. Tsiatis
James M. Robins
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+
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Statistical model for fetal death, fetal weight, and malformation in developmental toxicity studies
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1993
|
Paul J. Catalano
Daniel O. Scharfstein
Louise Ryan
Carole A. Kimmel
Gary L. Kimmel
|