3 papers
stat.ME2025
Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition
Rachael K. Ross, Lina M. Montoya, Dana E. Goin +2
Use of machine learning to estimate nuisance functions (e.g. outcomes models, propensity score models) in estimators used in causal inference is increasingly common, as it can miti…
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.ME2024
Identification and estimation of causal effects using non-concurrent controls in platform trials
Michele Santacatterina, Federico Macchiavelli Giron, Xinyi Zhang +1
Platform trials are multi-arm designs that simultaneously evaluate multiple treatments for a single disease within the same overall trial structure. Unlike traditional randomized c…