collaborators

5 papers

stat.ME2026

Modified treatment policies that depend on the natural history of treatment

Iván Díaz, Nicholas T. Williams, Paweł Morzywołek +1

Longitudinal modified treatment policies (LMTP) are a class of interventions that allow the definition, identification, and estimation of causal effects in general settings, such a…

stat.ME2026

Considerations for the Integration of Randomized Controlled Trials and Real-World Data

Sky Qiu, Charles Barr, Lauren Dang +18

As clinical decision-making increasingly moves toward individualized and context-specific treatment recommendations, reliance on any single evidence source, randomized or observati…

stat.ME2026

crumble: A comprehensive framework for modern causal mediation analysis with intermediate confounding

Richard Liu, Nicholas T. Williams, Kara E. Rudolph +1

Causal mediation analysis is widely used to investigate how causal effects operate through specific pathways linking treatments or exposures to outcomes. Recently, \texttt{crumble}…

stat.ME2025

Transporting results from a trial to an external target population when trial participation impacts adherence

Rachael K. Ross, Ivan Diaz, Amy J. Pitts +2

Randomized clinical trials are considered the gold standard for informing treatment guidelines, but results may not generalize to real-world populations. Generalizability is hinder…

stat.ME2025

A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference

Harsh Parikh, Trang Quynh Nguyen, Elizabeth A. Stuart +2

Data integration approaches are increasingly used to enhance the efficiency and generalizability of studies. However, a key limitation of these methods is the assumption that outco…