Matched Case-control Analysis

Matched Case-Control Analysis is a type of observational study design in categorical data analysis where cases and controls are grouped into strata based on shared characteristics, differing in that it specifically examines the association between exposure and outcome while controlling for potential confounding through matching within pairs or sets.

352

Publications

32.3K

Citations

817

Authors

371

Institutions

Publications per year

2017–2026

41

Authors

817

  1. SG
    Sander Greenland

    University of California, Los Angeles, United States

    9 publications · 492 citations

    9

    h-index

  2. PR
    Paul R. Rosenbaum

    University of Pennsylvania, United States

    8 publications · 659 citations

    8

    h-index

  3. AR
    Alvan R. Feinstein

    Yale University, United States

    6 publications · 578 citations

    6

    h-index

  4. SD
    Stephen D. Walter

    McMaster University, Canada

    5 publications · 251 citations

    5

    h-index

  5. NP
    Neil Pearce

    London School of Hygiene & Tropical Medicine, United Kingdom

    5 publications · 927 citations

    5

    h-index

1–5 of 817

Venues

  1. Biometrics

    38 publications · 3K citations

    26

    h-index

  2. American Journal of Epidemiology

    AJE · 36 publications · 5.3K citations

    22

    h-index

  3. Statistics in Medicine

    30 publications · 1.7K citations

    19

    h-index

  4. Biometrika

    17 publications · 2.5K citations

    14

    h-index

  5. Journal of Chronic Diseases

    14 publications · 694 citations

    13

    h-index

1–5