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

2023-02-10 epidemiology Title + abstract only
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Methods 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 decisions. If multiple treatments are available, the propensity score is a function of the ad...

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