activity
20162026
most citedTime-dependent mediators in survival analysis: Modelling direct and indirect effects with the additive hazards model

58 citations · 177 across the 41 of their papers we have counts for

collaborators
Showing 2026Show all

10 papers · 1 filter

stat.ME2026

Estimand frameworks for causal inference in clinical research and regulatory decision making

Miguel A. Hernán, Mats J. Stensrud, Xabier García-Albéniz +2

Causal inference for clinical and regulatory decision making requires a precise definition of the causal estimand, that is, what we want to estimate. Three frameworks are commonly…

stat.ME2026

Optimal sequential decision-making with initiation regimes

Julien D. Laurendeau, Leora Sarvet, Mats J. Stensrud

Consider an optimal dynamic treatment regime, correctly identified from a large, perfectly executed sequentially randomized experiment. Even when the experimenta…

stat.ME2026

Causal inference with staggered entries and effects that change over calendar time

Lorenzo Gasparollo, Mats J. Stensrud

Studies with staggered entry, in which individuals enroll at different calendar times, are ubiquitous in medicine and related disciplines. Because these studies usually have a fixe…

stat.ME2026

On the choice of using raw or demographically-corrected scores

Ignacio Gonzalez-Perez, Mats Julius Stensrud, Marco Piccininni

Demographic corrections are routinely performed in many disciplines, including psychology. Yet, there are ongoing debates about whether these corrections are appropriate and improv…

stat.ME2026

Causal Inference for All: Marginal Estimands for Outcomes Truncated by Death

Ruixuan Zhao, Mats Stensrud, Linbo Wang

In longitudinal studies, outcomes of interest are often truncated by death, meaning that they are only observed or well-defined conditional on intercurrent events such as survival.…

stat.AP2026

Trust Me, I'm a Doctor?

Zach Shahn, Mats Stensrud

Clinical trials usually target average treatment effects, but treatment decisions are made for individuals. This tension motivates a common criticism of evidence-based medicine: a…

stat.ME2026

Sample splitting for valid statistical inference in target trial emulations

Mats Julius Stensrud

\noindent Target trial emulation has improved comparative effectiveness research by making the causal question, assumptions, and analysis plan explicit. However, target trial proto…

stat.ME2026

On causal inference with marked point process data

Pål Christie Ryalen, Mats Julius Stensrud, Kjetil Røysland

We define dynamic treatment regimes and associated potential outcomes for data described by marked point processes (MPPs). These definitions motivate MPP analogues of the commonly…

stat.ME2026

Effects conditional on post-treatment events generated by independent mechanisms

Marco Piccininni, Mats J. Stensrud

In both observational studies and randomized trials, post-treatment events such as dropout, nonadherence, and truncation by death occur frequently. In some studies, conditioning on…

stat.ME2026

Causal Vaccine Effects on Post-infection Outcomes in the Naturally Infected

Allison Codi, Elizabeth Rogawski McQuade, Razieh Nabi +3

Understanding vaccine effects on post-infection outcomes is critical for evaluating the full value proposition of a vaccine. However, defining appropriate causal effects on such ou…