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11/09/2022
Generalizing and transporting inferences about the effects of treatment assignment subject to non-adherence
We discuss the identifiability of causal estimands for generalizability ...
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07/20/2022
Global sensitivity analysis for studies extending inferences from a randomized trial to a target population
When individuals participating in a randomized trial differ with respect...
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03/28/2022
Randomized trials and their observational emulations: a framework for benchmarking and joint analysis
A randomized trial and an analysis of observational data designed to emu...
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03/05/2021
Revisiting the g-null paradox
The parametric g-formula is an approach to estimating causal effects of ...
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05/01/2020
A Formal Causal Interpretation of the Case-Crossover Design
The case-crossover design (Maclure, 1991) is widely used in epidemiology...
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04/30/2020
Generalized interpretation and identification of separable effects in competing event settings
In competing event settings, a counterfactual contrast of cause-specific...
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02/27/2020
Causal inference with limited resources: proportionally-representative interventions
Investigators often evaluate treatment effects by considering settings i...
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11/14/2019
Guidelines for estimating causal effects in pragmatic randomized trials
Pragmatic randomized trials are designed to provide evidence for clinica...
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08/24/2019
Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population
We present methods for causally interpretable meta-analyses that combine...
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08/19/2019
gfoRmula: An R package for estimating effects of general time-varying treatment interventions via the parametric g-formula
Researchers are often interested in using longitudinal data to estimate ...
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06/26/2019
Generalizing causal inferences from randomized trials: counterfactual and graphical identification
When engagement with a randomized trial is driven by factors that affect...
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05/25/2019
Sensitivity analysis using bias functions for studies extending inferences from a randomized trial to a target population
Extending (generalizing or transporting) causal inferences from a random...
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05/19/2019
Study designs for extending causal inferences from a randomized trial to a target population
We examine study designs for extending (generalizing or transporting) ca...
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03/27/2019
Towards causally interpretable meta-analysis: transporting inferences from multiple studies to a target population
We take steps towards causally interpretable meta-analysis by describing...
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02/16/2019
Generalizing trial findings using nested trial designs with sub-sampling of non-randomized individuals
To generalize inferences from a randomized trial to the target populatio...
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02/16/2019
Generalizing trial findings in nested trial designs with sub-sampling of non-randomized individuals
To generalize inferences from a randomized trial to the target populatio...
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02/14/2019
A Note on Estimating Optimal Dynamic Treatment Strategies Under Resource Constraints Using Dynamic Marginal Structural Models
Existing strategies for determining the optimal treatment or monitoring ...
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01/28/2019
Separable Effects for Causal Inference in the Presence of Competing Risks
In time-to-event settings, the presence of competing events complicates ...
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06/15/2018
The choice to define competing risk events as censoring events and implications for causal inference
In failure-time settings, a competing risk event is any event that makes...
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05/01/2018
Transporting inferences from a randomized trial to a new target population
When variables that are treatment effect modifiers also influence the de...
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04/28/2018
