activity
20242026
collaborators

19 papers

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.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.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

A simple and powerful test of vaccine waning

Gellért Perényi, Matias Janvin, Mats J. Stensrud

Determining whether vaccine efficacy wanes is important for individual and public decision making. Yet, quantification of waning is a subtle task. The classical approaches cannot b…

stat.ME2026

A simple strategy for valid inference in target trial emulations

Mats Julius Stensrud

Target trial emulation has improved comparative effectiveness research by making the causal question, assumptions, and analysis plan explicit. However, target trial protocols are u…

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…