98 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harvard UniversityUS11 papers
- Cancer Research And BiostatisticsUS2 papers
- Duke UniversityUS2 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Yale UniversityUS2 papers
- Angkor Hospital for ChildrenKH1 paper
- Ben-Gurion University of the NegevIL1 paper
- Brigham and Women's HospitalUS1 paper
- Carnegie Mellon UniversityUS1 paper
- Dana-Farber Cancer InstituteUS1 paper
- Georgetown UniversityUS1 paper
- Harvard–MIT Division of Health Sciences and TechnologyUS1 paper
13 papers
Illustrating implications of misaligned causal questions and statistics in settings with competing events and interest in treatment mechanisms
Takuya Kawahara, Sean McGrath, Jessica G Young
In the presence of competing events, many investigators are interested in a direct treatment effect on the event of interest that does not capture treatment effects on competing ev…
A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models
Mary Ryan Baumann, Monica Taljaard, Patrick J. Heagerty +4
Cluster-randomized trials (CRTs) are a well-established class of designs for evaluating community-based interventions. An essential task in planning these trials is determining the…
Grace periods in comparative effectiveness studies of sustained treatments
Kerollos Nashat Wanis, Aaron L. Sarvet, Lan Wen +4
Researchers are often interested in estimating the effect of sustained use of a treatment on a health outcome. However, adherence to strict treatment protocols can be challenging f…
Covariate Adjustment in Randomized Clinical Trials with Missing Covariate and Outcome Data
Chia-Rui Chang, Yue Song, Fan Li +1
When analyzing data from randomized clinical trials, covariate adjustment can be used to account for chance imbalance in baseline covariates and to increase precision of the treatm…
Causal inference with recurrent and competing events
Matias Janvin, Jessica G. Young, Pål C. Ryalen +1
Many research questions concern treatment effects on outcomes that can recur several times in the same individual. For example, medical researchers are interested in treatment effe…
Revisiting the g-null paradox
Sean McGrath, Jessica G. Young, Miguel A. Hernán
The parametric g-formula is an approach to estimating causal effects of sustained treatment strategies from observational data. An often cited limitation of the parametric g-formul…
Amnesty Policy and Elite Persistence in the Postbellum South: Evidence from a Regression Discontinuity Design
Jason Poulos
This paper investigates the impact of Reconstruction-era amnesty policy on the officeholding and wealth of elites in the postbellum South. Amnesty policy restricted the political a…
Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies
Christina X. Ji, Michael Oberst, Sanjat Kanjilal +1
Reinforcement learning (RL) has the potential to significantly improve clinical decision making. However, treatment policies learned via RL from observational data are sensitive to…
Propensity Score Weighting for Covariate Adjustment in Randomized Clinical Trials
Shuxi Zeng, Fan Li, Rui Wang
Chance imbalance in baseline characteristics is common in randomized clinical trials. Regression adjustment such as the analysis of covariance (ANCOVA) is often used to account for…
Function-on-Function Regression for the Identification of Epigenetic Regions Exhibiting Windows of Susceptibility to Environmental Exposures
Michele Zemplenyi, Mark J. Meyer, Andres Cardenas +9
The ability to identify time periods when individuals are most susceptible to exposures, as well as the biological mechanisms through which these exposures act, is of great public…
gfoRmula: An R package for estimating effects of general time-varying treatment interventions via the parametric g-formula
Victoria Lin, Sean McGrath, Zilu Zhang +4
Researchers are often interested in using longitudinal data to estimate the causal effects of hypothetical time-varying treatment interventions on the mean or risk of a future outc…
Evaluating hospital infection control measures for antimicrobial-resistant pathogens using stochastic transmission models: application to Vancomycin-Resistant Enterococci in intensive care units
Yinghui Wei, Theodore Kypraios, Philip D. O'Neill +3
Nosocomial pathogens such as Methicillin-Resistant {\em Staphylococcus aureus} (MRSA) and Vancomycin-resistant {\em Enterococci} (VRE) are the cause of significant morbidity and mo…
Continuous Post-Market Sequential Safety Surveillance with Minimum Events to Signal
Martin Kulldorff, Ivair R. Silva
The CDC Vaccine Safety Datalink project has pioneered the use of near real-time post-market vaccine safety surveillance for the rapid detection of adverse events. Doing weekly anal…