5 papers
The uniform general signed rank test and its design sensitivity
Steven R. Howard, Samuel D. Pimentel
A sensitivity analysis in an observational study tests whether the qualitative conclusions of an analysis would change if we were to allow for the possibility of limited bias due t…
Design Sensitivity and Its Implications for Weighted Observational Studies
Melody Huang, Dan Soriano, Samuel D. Pimentel
Sensitivity to unmeasured confounding is not typically a primary consideration in designing treated-control comparisons in observational studies. We introduce a framework allowing…
Robust inference for matching under rolling enrollment
Amanda K. Glazer, Samuel D. Pimentel
Matching in observational studies faces complications when units enroll in treatment on a rolling basis. While each treated unit has a specific time of entry into the study, contro…
JOINTVIP: Prioritizing variables in observational study design with joint variable importance plot in R
Lauren D. Liao, Samuel D. Pimentel
Credible causal effect estimation requires treated subjects and controls to be otherwise similar. In observational settings, such as analysis of electronic health records, this is…
MultiObjMatch: Matching with Optimal Tradeoffs between Multiple Objectives in R
Shichao Han, Samuel D. Pimentel
In an observational study, matching aims to create many small sets of similar treated and control units from initial samples that may differ substantially in order to permit more c…