Pairwise Discordant Analysis

Pairwise Discordant Analysis is a statistical method in matched case-control studies that focuses on pairs in which the case and control differ (discordant pairs) to estimate exposure effects by contrasting the frequency of exposures between cases and controls within these discordant pairs.

20

Publications

1.1K

Citations

95

Authors

40

Institutions

Publications per year

2017–2026

5

Authors

95

  1. DS
    Derrick Siao

    University of California, San Francisco, United States

    2 publications · 43 citations

    2

    h-index

  2. WJ
    William J. Rutter

    University of California, San Francisco, United States

    2 publications · 43 citations

    2

    h-index

  3. MS
    Mark Selby

    University of California, San Francisco, United States

    2 publications · 43 citations

    2

    h-index

  4. KG
    Kim Goslin

    Stanford University, United States

    2 publications · 43 citations

    2

    h-index

  5. JN
    John N. Feder

    Bristol-Myers Squibb (United States), United States

    2 publications · 43 citations

    2

    h-index

1–5 of 95

Venues

  1. PubMed

    Repository · 2 publications · 78 citations

    2

    h-index

  2. The American Journal of Human Genetics

    AJHG · 2 publications · 314 citations

    2

    h-index

  3. Genetic Epidemiology

    2 publications · 98 citations

    2

    h-index

  4. Genetics in Medicine

    GIM · 1 publications · 36 citations

    1

    h-index

  5. Fertility and Sterility

    1 publications · 24 citations

    1

    h-index

1–5