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Causal Inference in Survival Analysis by brickblack2009 is a document available to read on EtoBox.
This dissertation presents a technique for estimating causal effects of treatments on survival outcomes using the Rubin Causal Model, focusing on the evaluation of Interferon versus Azathioprine in Multiple Sclerosis patients. It addresses challenges related to treatment assignment mechanisms and covariate-dependent censoring through the use of Marginal Structural Cox models and proposes a new weighting method for causal effect estimation. The research utilizes observational data collected from 1981 to 2019
- Author
- brickblack2009
- Language
- EN