Mixed-effects Models for Repeated Measures in Longitudinal Data Analysis: An Introduction to Methodology, Theory, and Applications

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  • Gosho Masahiko
    Department of Clinical Trial and Clinical Epidemiology, Faculty of Medicine, University of Tsukuba
  • Maruo Kazushi
    Translational Medical Center, National Center of Neurology and Psychiatry

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Other Title
  • 経時測定データ解析における mixed-effects models for repeated measures（MMRM）の利用
  • ケイジ ソクテイ データ カイセキ ニ オケル mixed-effects models for repeated measures (MMRM)ノ リヨウ

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<p>The presence of missing data has seriously compromised statistical inferences from clinical trials. Mixed-effects models for repeated measures (MMRM) provide a useful approach for analyzing incomplete longitudinal data. In particular, MMRM analysis is increasingly common in biomedical research and is frequently used as the primary analysis in these trials. We introduce the basic ideas, model structure, and properties of MMRM. In addition, we give an overview of parameter estimates and statistical inference for MMRM analysis. Finally, we discuss some important considerations regarding MMRM analysis.</p>

Journal

  • Ouyou toukeigaku

    Ouyou toukeigaku 46 (2), 53-65, 2017

    Japanese Society of Applied Statistics

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