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Chinese Journal of Clinical Pharmacology and Therapeutics ›› 2002, Vol. 7 ›› Issue (3): 257-262.

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Statistical adjustment of treatment effect for covariates in clinical trials

LIU Yu-Xiu, YAO Chen1, CHEN Feng2, CHEN Qi-Guang3, SU Bing-Hua4   

  1. General Hospital of Nanjing Command PLA, Nanjing 210002;
    1Department of Medical Statistics, General Hospital of PLA, Benjing 100853;
    2Department of Medical Statistics, Nantong Medical College, Nantong 226001;
    3Department of Epidemiology and Biostatistics, Southeast University, Nanjing 210009;
    4Department of Biostatistics, Shanghai Second U-niversity of Medical Sciences, Shanghai 200025
  • Received:2002-03-31 Revised:2002-04-18 Published:2020-12-01

Abstract: Somenon-treatment variables that affect the outcomeof a disease are often called covariates. These covariables should be consideredin the design andanalysis of clinical trials to obtain unbias conclusion.To ensure that any observed treatment effect is not influenced by an imbalances in baseline characteristics, both pread-justment and postadjustment are providedin the design stage andanalysis stage of the trials respectively.They can improve the credibility of the trial results andincrease the statistical efficiency.Based on a few papers published about adjustment for covariates and somedocumentations of the International Conference on Harmonization (ICH), wereview the concepts, methods and procedures for ad-justment of treatment effects for the influence of covari-ates.The statistical issues on the application of adjust-ment are especially discussedin great depth.

Key words: clinical trial, treatment effect, covari-ate, stratification, minimization, stratified tests, regres-sion model, ICH

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