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Commentary on Chen et al. (2022): The need for continued methodological research on leveraging information in
Jack M Wolf1, Joseph S Koopmeiners1, David M Vock1
1Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, 2221 University Ave SE, Minneapolis, MN 55414, USA.
Abstract:
Chen et al. (2022) recently proposed a set of estimating equations that incorporate data from secondary endpoints to improve precision in parameter estimates related to a primary endpoint. We were motivated to translate their methodology to the context of randomized controlled trials to gain precision in treatment effect estimation using data from secondary endpoints. Our results suggest that this estimator cannot gain efficiency in this context because of random treatment assignment, especially when there is a treatment effect on secondary endpoints, and that further methodological work in this area is needed.
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