Dealing with time-dependent exposures and confounding when defining and estimating attributable fractions -- revisiting estimands and estimators
From MaRDI portal
Publication:6630333
DOI10.1002/sim.9988zbMATH Open1548.62446MaRDI QIDQ6630333
Paweł Morzywołek, Stijn Vansteelandt, Wim Van Biesen, Johan Decruyenaere, Johan Steen
Publication date: 31 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
causal inferenceinverse probability of censoring weightingtime-dependent confoundingtime-dependent exposurepopulation-attributable fractionmultistate modeling
Cites Work
- Adjusting for time-varying confounding in the subdistribution analysis of a competing risk
- On predictive causality in longitudinal studies
- Probabilities of causation: Three counterfactual interpretations and their identification
- A generalized theory of separable effects in competing event settings
- Bounded, efficient and doubly robust estimation with inverse weighting
- Attributable risk estimation for adjusted disability multistate models: Application to nosocomial infections
- Population intervention models in causal inference
- The Analysis of Failure Times in the Presence of Competing Risks
- The Graft Versus Leukemia Effect after Bone Marrow Transplantation: A Case Study Using Structural Nested Failure Time Models
- Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log‐Rank Tests
- A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
- Estimation of attributable fractions using inverse probability weighting
- Double/debiased machine learning for treatment and structural parameters
- The Kaplan–Meier Estimator as an Inverse-Probability-of-Censoring Weighted Average
- A review of adjusted estimators of attributable risk
- Estimating the marginal survival function in the presence of time dependent covariates
- The population-attributable fraction for time-dependent exposures and competing risks -- A discussion on estimands
- A causal framework for classical statistical estimands in failure-time settings with competing events
- Targeted maximum likelihood learning
This page was built for publication: Dealing with time-dependent exposures and confounding when defining and estimating attributable fractions -- revisiting estimands and estimators
