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20152026
most citedHierarchical models for semi-competing risks data with application to quality of end-of-life care for pancreatic cancer

40 citations · 105 across the 14 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

stat.ME2019★ 1 cited

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.ME2019★ 22 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…

stat.ME2019★ 16 cited

Survivor average causal effects for continuous time: a principal stratification approach to causal inference with semicompeting risks

Leah Comment, Fabrizia Mealli, Sebastien Haneuse +1

In semicompeting risks problems, nonterminal time-to-event outcomes such as time to hospital readmission are subject to truncation by death. These settings are often modeled with i…