Multinomial Longitudinal Models

Multinomial Longitudinal Models is a statistical modeling framework that extends generalized linear models to analyze repeated categorical outcomes over time by accounting for within-subject correlation and modeling transitions across multiple nominal categories.

368

Publications

18.4K

Citations

1.6K

Authors

759

Institutions

Publications per year

2017–2026

166

Authors

1.6K

  1. CL
    Catherine Law

    University College London, United Kingdom

    6 publications · 101 citations

    6

    h-index

  2. DM
    David M. Riefer

    California State University, San Bernardino, United States

    6 publications · 630 citations

    6

    h-index

  3. SB
    Sarah B. Laditka

    University of North Carolina at Charlotte, United States

    6 publications · 133 citations

    6

    h-index

  4. RJ
    Rachel Jewkes

    South African Medical Research Council, South Africa

    6 publications · 743 citations

    6

    h-index

  5. SH
    Steven Hope

    University College London, United Kingdom

    6 publications · 101 citations

    6

    h-index

1–5 of 1.6K

Venues

  1. PLoS ONE

    12 publications · 345 citations

    12

    h-index

  2. BMC Public Health

    9 publications · 420 citations

    9

    h-index

  3. 9

    h-index

  4. The Journals of Gerontology Series B

    8 publications · 721 citations

    8

    h-index

  5. Age and Ageing

    7 publications · 249 citations

    7

    h-index

1–5