58 citations · 177 across the 41 of their papers we have counts for
48 papers
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…
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…
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…
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…
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.…
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…
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…
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…
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…
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…
Counterfactual Harm: A Counter-argument
Amit N. Sawant, Mats J. Stensrud
As AI systems are increasingly used to guide decisions, it is essential that they follow ethical principles. A core principle in medicine is non-maleficence, often equated with ``d…
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…
Interpretational errors with instrumental variables
Luca Locher, Mats J. Stensrud, Aaron L. Sarvet
Instrumental variables (IV) are often used to identify causal effects in observational settings and experiments subject to non-compliance. Under canonical assumptions, IVs allow us…
Add-On Regimes and Their Relevance for Quantifying the Effects of Opioid-Sparing Treatments
Catharina Stoltenberg, Matias Janvin, Mats Julius Stensrud +2
Medical researchers and practitioners want to know if supplementing opioid treatments with other analgesics, such as nonsteroidal anti-inflammatory drugs (NSAIDs), can reduce opioi…
Encoding and inference on separable effects for sustained treatments
Ignacio Gonzalez-Perez, Kerollos Nashat Wanis, Aaron Leor Sarvet +1
Sustained treatment strategies are common in many domains, particularly in medicine, where many treatment are delivered repeatedly over time. The effects of adherence to a treatmen…
Refining the Notion of No Anticipation in Difference-in-Differences Studies
Marco Piccininni, Eric J. Tchetgen Tchetgen, Mats J. Stensrud
We address an ambiguity in identification strategies using difference-in-differences, which are widely applied in empirical research, particularly in economics. The assumption comm…
Target trial emulation without matching: a more efficient approach for evaluating vaccine effectiveness using observational data
Emily Wu, Elizabeth Rogawski McQuade, Mats Stensrud +2
Real-world vaccine effectiveness has increasingly been studied using matching-based approaches, particularly in observational cohort studies following the target trial emulation fr…
Nonparametric tests of treatment effect homogeneity for policy-makers
Oliver Dukes, Mats J. Stensrud, Riccardo Brioschi +1
Recent work has focused on nonparametric estimation of conditional treatment effects, but inference has remained relatively unexplored. We propose a class of nonparametric tests fo…
Variant Specific Treatment Effects with Applications in Vaccine Studies
Gellert Perenyi, Mats J. Stensrud
Pathogens usually exist in heterogeneous variants, like subtypes and strains. Quantifying treatment effects on the different variants is important for guiding prevention policies a…
Causal inference for N-of-1 trials
Marco Piccininni, Mats J. Stensrud, Zachary Shahn +1
The aim of personalized medicine is to tailor treatment decisions to individuals' characteristics. N-of-1 trials are within-person crossover trials that hold the promise of targeti…
Quantification of vaccine waning as a challenge effect
Matias Janvin, Mats J. Stensrud
Knowing whether vaccine protection wanes over time is important for health policy and drug development. However, quantifying waning effects is difficult. A simple contrast of vacci…
Improved bounds and inference on optimal regimes
Julien D. Laurendeau, Aaron L. Sarvet, Mats J. Stensrud
Point identification of causal effects requires strong assumptions that are unreasonable in many practical settings. However, informative bounds on these effects can often be deriv…
Optimal regimes with limited resources
Aaron L. Sarvet, Julien D. Laurendeau, Mats J. Stensrud
Policy-makers are often faced with the task of distributing a limited supply of resources. To support decision-making in these settings, statisticians are confronted with two chall…
Rejoinder to "Perspectives on `harm' in personalized medicine -- an alternative perspective"
Aaron L. Sarvet, Mats J. Stensrud
In our original article (Sarvet & Stensrud, 2024), we examine twin definitions of "harm" in personalized medicine: one based on predictions of individuals' unmeasurable response ty…