Cross-sectional Studies

Cross-Sectional Studies is a type of observational study design in epidemiology that assesses the prevalence of exposures, outcomes, and their association within a population at a single point in time.

485

Publications

191.6K

Citations

1.5K

Authors

755

Institutions

Publications per year

2017–2026

96

Publications

485

1–5 of 485

Authors

1.5K

  1. ME
    Matthias Egger

    University of Bern, Switzerland

    18 publications · 112.1K citations

    16

    h-index

  2. DG
    Douglas G. Altman

    University of Oxford, United Kingdom

    18 publications · 111.8K citations

    16

    h-index

  3. JP
    Jan P. Vandenbroucke

    Leiden University, Netherlands

    16 publications · 115.3K citations

    15

    h-index

  4. PC
    Peter C Gøtzsche

    Cochrane, Denmark

    15 publications · 111.8K citations

    14

    h-index

  5. EV
    Erik von Elm

    Institute of Social and Preventive Medicine, Switzerland

    15 publications · 111.8K citations

    14

    h-index

1–5 of 1.5K

Venues

  1. International Journal of Epidemiology

    16 publications · 2.8K citations

    16

    h-index

  2. Statistics in Medicine

    14 publications · 1.7K citations

    12

    h-index

  3. SSRN Electronic Journal

    Repository · 13 publications · 671 citations

    12

    h-index

  4. PubMed

    Repository · 14 publications · 693 citations

    12

    h-index

  5. American Journal of Epidemiology

    AJE · 11 publications · 1.8K citations

    11

    h-index

1–5