Shared-parameter Models

Shared-Parameter Models is a statistical modeling framework that belongs to the class of joint models for longitudinal and time-to-event data, distinguished by its incorporation of shared random effects or latent variables that link multiple submodels to account for dependencies between correlated processes in the presence of missing data.

67

Publications

4.4K

Citations

154

Authors

90

Institutions

Publications per year

2017–2026

17

Authors

154

  1. GV
    Geert Verbeke

    KU Leuven, Belgium

    9 publications · 490 citations

    9

    h-index

  2. GM
    Geert Molenberghs

    Hasselt University, Belgium

    7 publications · 357 citations

    7

    h-index

  3. DR
    Dimitris Rizopoulos

    Erasmus MC, Netherlands

    6 publications · 428 citations

    6

    h-index

  4. MJ
    Michael J. Crowther

    University of Leicester, United Kingdom

    2 publications · 39 citations

    3

    h-index

  5. ME
    Michael E. Sobel

    University of Arizona, United States

    3 publications · 252 citations

    3

    h-index

1–5 of 154

Venues

  1. Biometrics

    8 publications · 493 citations

    8

    h-index

  2. Statistics in Medicine

    4 publications · 315 citations

    5

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 5 publications · 104 citations

    5

    h-index

  4. Statistical Methods in Medical Research

    2 publications · 306 citations

    2

    h-index

  5. Journal of Biopharmaceutical Statistics

    JBS · 2 publications · 38 citations

    2

    h-index

1–5