Participant-level Modeling

Participant-Level Modeling is a statistical methodology that belongs to the class of individual participant data meta-analysis techniques, specifically characterized by the direct modeling of raw data from each participant across multiple studies to estimate pooled effects while accounting for within- and between-study heterogeneity.

81

Publications

4.5K

Citations

487

Authors

278

Institutions

Publications per year

2017–2026

32

Authors

487

  1. DC
    David C. Rimm

    Arizona State University, United States

    3 publications · 80 citations

    3

    h-index

  2. TP
    Thomas P. A. Debray

    University Medical Center Utrecht, Netherlands

    3 publications · 154 citations

    3

    h-index

  3. EW
    Ewout W. Steyerberg

    Erasmus MC, Netherlands

    2 publications · 167 citations

    2

    h-index

  4. JL
    Johnny L. Matson

    Louisiana State University, United States

    2 publications · 104 citations

    2

    h-index

  5. EB
    Elaine Butterly

    University of Glasgow, United Kingdom

    2 publications · 71 citations

    2

    h-index

1–5 of 487

Venues

  1. Statistics in Medicine

    6 publications · 272 citations

    6

    h-index

  2. 5

    h-index

  3. Journal of Consulting and Clinical Psychology

    4 publications · 210 citations

    4

    h-index

  4. Behaviour Research and Therapy

    3 publications · 81 citations

    3

    h-index

  5. Statistical Methods in Medical Research

    2 publications · 93 citations

    2

    h-index

1–5