932 citations · 1.6k across the 10 of their papers we have counts for
10 papers
Meta-analysis of median survival times with inverse-variance weighting
Sean McGrath, Cheng-Han Yang, Jonathan Kimmelman +3
We consider the problem of meta-analyzing outcome measures based on median survival times. Primary studies with time-to-event outcomes often report estimates of median survival tim…
metamedian: An R package for meta-analyzing studies reporting medians
Sean McGrath, XiaoFei Zhao, Omer Ozturk +3
When performing an aggregate data meta-analysis of a continuous outcome, researchers often come across primary studies that report the sample median of the outcome. However, standa…
Nuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional
Sean McGrath, Rajarshi Mukherjee
Estimators of doubly robust functionals typically rely on estimating two complex nuisance functions, such as the propensity score and conditional outcome mean for the average treat…
Standard error estimation in meta-analysis of studies reporting medians
Sean McGrath, Stephan Katzenschlager, Alexandra J. Zimmer +3
We consider the setting of an aggregate data meta-analysis of a continuous outcome of interest. When the distribution of the outcome is skewed, it is often the case that some prima…
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…
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
Sean McGrath, Parth Mehta, Alexandra Zytek +2
As machine learning (ML) models are increasingly being employed to assist human decision makers, it becomes critical to provide these decision makers with relevant inputs which can…
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…
Estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis
Sean McGrath, XiaoFei Zhao, Russell Steele +4
Researchers increasingly use meta-analysis to synthesize the results of several studies in order to estimate a common effect. When the outcome variable is continuous, standard meta…
Two-sample aggregate data meta-analysis of medians
Sean McGrath, Hojoon Sohn, Russell Steele +1
We consider the problem of meta-analyzing two-group studies that report the median of the outcome. Often, these studies are excluded from meta-analysis because there are no well-es…
One-sample aggregate data meta-analysis of medians
Sean McGrath, XiaoFei Zhao, Zhi Zhen Qin +2
An aggregate data meta-analysis is a statistical method that pools the summary statistics of several selected studies to estimate the outcome of interest. When considering a contin…