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One Model to Rule Them All: Using a Single Model to Control for Confounding and Informative Censoring

by Alex Breskin | Oct 19, 2021 | Methods

index.knit Introduction Studies designs for estimating causal effects are numerous. Based on the design, it is often necessary to control or address several sources of bias, such as baseline and time-varying confounding, informative censoring, selection bias, and a...

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