3 papers
stat.AP2026
Timescales in Time-to-Event Analyses in Pregnancy
Chase D Latour, Shalini S. Ramachandra, Daniel A. Xu +8
The target trial framework is increasingly used to define the causal estimand for an observational analysis. However, designing time-to-event analyses that align with the causal es…
stat.ME2026
Regression-Based Proximal Reconciliation of Conflicting Trials with Unmeasured Effect Modifiers
Daniel A Xu, Eric J Tchetgen Tchetgen, Enrique F Schisterman +2
Randomized controlled trials with similar protocols may yield conflicting findings when the distribution of relevant effect modifiers differs across study populations. Yet no forma…
stat.ME2025
Sensitivity Analysis when Generalizing Causal Effects from Multiple Studies to a Target Population: Motivation from the ECHO Program
Bolun Liu, Trang Quynh Nguyen, Elizabeth A. Stuart +22
Unobserved effect modifiers can induce bias when generalizing causal effect estimates to target populations. In this work, we extend a sensitivity analysis framework assessing the…