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Article

A Compound Model of Multiple Treatment Selection with Applications to Marginal Structural Modeling

2023-02-10

Abstract excerpt

<h4>Methods: </h4> of causal inference are used to estimate treatment effectiveness for non-randomized study designs. The propensity score (i.e., the probability that a subject receives the study treatment conditioned on a set of variables related to treatment and/or outcome) is often used with matching or sample weighting techniques to, ideally, eliminate bias in the estimates of treatment effect due to treatment...

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Literature Corpus work
4fee5e27-b2e7-5f64-bd1f-8aa67c4a3253
DOI
10.1101/2023.02.08.23285425
Open publication

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A Compound Model of Multiple Treatment Selection with Applications to Marginal Structural ModelingDOI 10.1101/2023.02.08.23285425
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