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Longitudinal Data Analysis

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Modern Clinical Trial Analysis

Abstract

Longitudinal studies are quite common in modern clinical trials and cohort studies. Unlike cross-sectional designs, where observations from study subjects are available only at a single time point, individuals in longitudinal or cohort studies are assessed repeatedly over time. By taking advantages of multiple snapshots of a group over time, data from longitudinal studies captures both between-individual differences and within-individual dynamics, affording the opportunity to study more complicated biological, psychological, and behavioral hypotheses than their cross-sectional counterparts.

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Author information

Authors and Affiliations

  1. Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, 14642, USA

    Wan Tang, Naiji Lu & Rui Chen

  2. Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN, 38105, USA

    Hui Zhang

Authors
  1. Wan Tang
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  2. Naiji Lu
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  3. Rui Chen
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  4. Hui Zhang
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Corresponding author

Correspondence to Wan Tang .

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Editors and Affiliations

  1. School of Medicine & Dentistry, Dept. Biostatistics & Computational, University of Rochester, Elmwood Ave. 601, Rochester, 14642, New York, USA

    Wan Tang

  2. School of Medicine & Dentistry, Dept. Biostatistics & Computational, University of Rochester, Elmwood Ave. 601, Rochester, 14642, New York, USA

    Xin Tu

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Tang, W., Lu, N., Chen, R., Zhang, H. (2012). Longitudinal Data Analysis. In: Tang, W., Tu, X. (eds) Modern Clinical Trial Analysis. Applied Bioinformatics and Biostatistics in Cancer Research. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4322-3_2

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