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Estimands and their estimators for clinical trials impacted by the COVID-19 pandemic: a report from the NISS Ingram Olkin Forum Series on unplanned clinical trial disruptions

Van Lancker K, Tarima S, Bartlett J, Bauer M, Bharani-Dharan B, Bretz F, Flournoy N, Michiels H, Olarte Parra C, Rosenberger JL, Cro S

An introduction to several hypothetical estimand strategies that may be useful to trials impacted by the COVID-19 pandemic and a review of various causal inference and missing data methods, as well as a statistical method that combines unbiased and possibly biased estimators, for estimation.

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