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20192021
most citedGeneralizing causal inferences from randomized trials: counterfactual and graphical identification

22 citations · 42 across the 6 of their papers we have counts for

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7 papers · 1 filter

stat.ME2021

Measuring performance for end-of-life care

Sebastien Haneuse, Deborah Schrag, Francesca Dominici +2

Although not without controversy, readmission is entrenched as a hospital quality metric, with statistical analyses generally based on fitting a logistic-Normal generalized linear…

stat.ME2020

Modeling semi-competing risks data as a longitudinal bivariate process

Daniel Nevo, Deborah Blacker, Eric B. Larson +1

The Adult Changes in Thought (ACT) study is a long-running prospective study of incident all-cause dementia and Alzheimer's disease (AD). As the cohort ages, death (a terminal even…

stat.ME2019

On the Interplay Between Exposure Misclassification and Informative Cluster Size

Glen McGee, Marianthi-Anna Kioumourtzoglou, Marc G. Weisskopf +2

In this paper we study the impact of exposure misclassification when cluster size is potentially informative (i.e., related to outcomes) and when misclassification is differential…

stat.ME201922 cited

Generalizing causal inferences from randomized trials: counterfactual and graphical identification

Issa J. Dahabreh, James M. Robins, Sebastien J-P. A. Haneuse +1

When engagement with a randomized trial is driven by factors that affect the outcome or when trial engagement directly affects the outcome independent of treatment, the average tre…

stat.ME2019

Sensitivity analysis using bias functions for studies extending inferences from a randomized trial to a target population

Issa J. Dahabreh, James M. Robins, Sebastien J-P. A. Haneuse +4

Extending (generalizing or transporting) causal inferences from a randomized trial to a target population requires ``generalizability'' or ``transportability'' assumptions, which s…

stat.ME2019

Study designs for extending causal inferences from a randomized trial to a target population

Issa J. Dahabreh, Sebastien J-P. A. Haneuse, James M. Robins +4

We examine study designs for extending (generalizing or transporting) causal inferences from a randomized trial to a target population. Specifically, we consider nested trial desig…