Population-averaged Effects

Population-Averaged Effects is a statistical parameter in longitudinal or clustered categorical data analysis that represents the average change in the outcome across the population for a one-unit change in the predictor, estimated using marginal models that account for within-subject correlation without conditioning on individual-specific random effects.

84

Publications

6K

Citations

324

Authors

187

Institutions

Publications per year

2017–2026

20

Authors

324

  1. EW
    Eric W. Lee

    New York University, United States

    2 publications · 77 citations

    2

    h-index

  2. PL
    Paige L. Williams

    Harvard University, United States

    2 publications · 45 citations

    2

    h-index

  3. HC
    Haitao Chu

    University of Minnesota, United States

    2 publications · 66 citations

    2

    h-index

  4. MJ
    Maarten J. Bijlsma

    University of Groningen, Netherlands

    2 publications · 61 citations

    2

    h-index

  5. PM
    Pekka Martikainen

    University of Helsinki, Finland

    2 publications · 61 citations

    2

    h-index

1–5 of 324

Venues

  1. Statistical Methods in Medical Research

    6 publications · 158 citations

    6

    h-index

  2. American Journal of Epidemiology

    AJE · 4 publications · 646 citations

    4

    h-index

  3. Epidemiology

    3 publications · 309 citations

    3

    h-index

  4. Statistics in Medicine

    3 publications · 84 citations

    3

    h-index

  5. Heredity

    2 publications · 35 citations

    2

    h-index

1–5