Transition Models

Transition Model is a type of longitudinal statistical model that belongs to the class of dynamic models and is distinguished by its specification of the conditional distribution of a response variable at a given time point as a function of past responses and covariates, thereby capturing temporal dependencies in repeated measures data.

515

Publications

30.6K

Citations

1.5K

Authors

738

Institutions

Publications per year

2017–2026

113

Authors

1.5K

  1. SS
    Scott Sanner

    University of Toronto, Canada

    5 publications · 171 citations

    5

    h-index

  2. BG
    Bruce G. Simons‐Morton

    Eunice Kennedy Shriver National Institute of Child Health and Human Development, United States

    4 publications · 153 citations

    4

    h-index

  3. LM
    Linda M. Collins

    Pennsylvania State University, United States

    4 publications · 382 citations

    4

    h-index

  4. MI
    Maximilian Igl

    University of Oxford, United Kingdom

    3 publications · 58 citations

    3

    h-index

  5. KL
    Kaigang Li

    Colorado State University, United States

    3 publications · 120 citations

    3

    h-index

1–5 of 1.5K

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 224 citations

    10

    h-index

  2. Statistics in Medicine

    8 publications · 229 citations

    8

    h-index

  3. The Journal of Organic Chemistry

    JOC · 8 publications · 382 citations

    8

    h-index

  4. Biometrics

    8 publications · 278 citations

    8

    h-index

  5. Journal of the American Statistical Association

    7 publications · 1.1K citations

    7

    h-index

1–5