Do Covariates Change the Estimand?. (2nd January 2020)

• Record Type: Journal Article
• Authors: Permutt, Thomas
• Is Part Of: Statistics in biopharmaceutical research. Volume 12:Number 1(2020)
• Page Start: 45
• Page End: 53
• Publication Date: 2020-01-02
• Subjects: Causal inference -- Clinical trials -- Double robust; Pharmacy -- Statistical methods -- Periodicals; Pharmaceutical biotechnology -- Statistical methods -- Periodicals; Biopharmaceutics -- Periodicals; Biometry -- Periodicals; Pharmacy -- Statistical methods; Periodicals; 615.190727
• DOI: 10.1080/19466315.2019.1647874
• Languages: English
• ISSNs: 1946-6315

Abstract

Abstract: Adjustment for covariates has been underused in trials intended to support approval of medical products. This underuse results partly from confusion about whether adjusting changes the thing being estimated or only the estimate of it, and partly from misplaced concerns about assumptions of the analysis. If the thing being estimated is carefully defined, it is seen that adjustments can be used with minimal assumptions. Thus, the benefit of increased efficiency can be realized with essentially no cost in robustness or interpretability.