What is it about?
Comparing and contrasting Marginal structural Cox model with a newly proposed method called Sequential Cox approach (and a modified version of it) in dealing with time-dependent confounding that affects future treatment decisions.
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Why is it important?
This article gives an alternative approach to Marginal structural Cox model to deal with time-dependent confounding that affects future treatment decisions.
Perspectives
Current research interest is in the methods that deal with time-dependent confounding in longitudinal observational studies and using machine learning methods in causal inference tools, especially in a situation with high-dimensional covariate space.
Dr. Mohammad Ehsanul Karim
McGill University
Read the Original
This page is a summary of: Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies, Statistical Methods in Medical Research, September 2016, SAGE Publications,
DOI: 10.1177/0962280216668554.
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