Repeated Cross-sectional Analysis

Repeated Cross-Sectional Analysis is a longitudinal observational study design that involves the repeated collection of cross-sectional data from different samples of a population at multiple time points to examine changes in variables over time while maintaining the cross-sectional structure at each instance.

240

Publications

14.1K

Citations

1.3K

Authors

614

Institutions

Publications per year

2017–2026

145

Variants

Repeated Cross-sectional DesignRepeated Cross-sectional Studies

Authors

1.3K

  1. RA
    Robert A. Rosenheck

    Yale University, United States

    3 publications · 171 citations

    3

    h-index

  2. KB
    Kathleen Bennett

    St. James's Hospital, Ireland

    2 publications · 86 citations

    3

    h-index

  3. TG
    Taeho Greg Rhee

    Yale University, United States

    3 publications · 171 citations

    3

    h-index

  4. BG
    Bruce Guthrie

    University of Dundee, United Kingdom

    3 publications · 1.1K citations

    3

    h-index

  5. RL
    Ria Laubscher

    South African Medical Research Council, South Africa

    2 publications · 64 citations

    2

    h-index

1–5 of 1.3K

Venues

  1. PLoS ONE

    9 publications · 664 citations

    10

    h-index

  2. BMC Public Health

    8 publications · 234 citations

    8

    h-index

  3. BMJ Open

    8 publications · 379 citations

    8

    h-index

  4. JAMA Network Open

    5 publications · 577 citations

    5

    h-index

  5. 5

    h-index

1–5