Mixed Models for Repeated Measures Should Include Time-by-Covariate Interactions to Assure Power Gains and Robustness Against Dropout Bias Relative to Complete-Case ANCOVA-论文-万方医学网

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Mixed Models for Repeated Measures Should Include Time-by-Covariate Interactions to Assure Power Gains and Robustness Against Dropout Bias Relative to Complete-Case ANCOVA

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第一作者： Schuler, Alejandro

作者： Schuler, Alejandro ^[1]

作者单位： Univ Calif Berkeley ^[1]

关键词 Longitudinal data Randomized trial Covariate adjustment CLINICAL-TRIALS MISSING DATA

发布时间 2022-07-23

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Mixed Models for Repeated Measures Should Include Time-by-Covariate Interactions to Assure Power Gains and Robustness Against Dropout Bias Relative to Complete-Case ANCOVA

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Mixed Models for Repeated Measures Should Include Time-by-Covariate Interactions to Assure Power Gains and Robustness Against Dropout Bias Relative to Complete-Case ANCOVA

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