2023
DOI: 10.1002/sim.9988
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Dealing with time‐dependent exposures and confounding when defining and estimating attributable fractions—Revisiting estimands and estimators

Johan Steen,
Paweł Morzywołek,
Wim Van Biesen
et al.

Abstract: The population‐attributable fraction (PAF) is commonly interpreted as the proportion of events that can be ascribed to a certain exposure in a certain population. Its estimation is sensitive to common forms of time‐dependent bias in the face of a time‐dependent exposure. Predominant estimation approaches based on multistate modeling fail to fully eliminate such bias and, as a result, do not permit a causal interpretation, even in the absence of confounding. While recently proposed multistate modeling approache… Show more

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