Risk Set Matching

Risk Set Matching is a matching method that, as a member of the class of observational study design techniques, distinguishes itself by pairing each treated unit with one or more control units selected from the risk set—that is, those controls who were eligible to receive the treatment at the time the treated unit was exposed, thereby ensuring temporal validity in the comparison.

20

Publications

1.3K

Citations

98

Authors

65

Institutions

Publications per year

2017–2026

8

Authors

98

  1. BL
    Bryan Langholz

    University of Southern California, United States

    2 publications · 165 citations

    2

    h-index

  2. SJ
    Suk‐Yong Jang

    Yonsei University, South Korea

    2 publications · 38 citations

    2

    h-index

  3. PN
    Paul Nieuwbeerta

    Leiden University, Netherlands

    1 publications · 155 citations

    1

    h-index

  4. JS
    Ju‐Young Shin

    Sungkyunkwan University, South Korea

    1 publications · 12 citations

    1

    h-index

  5. NK
    Nicholas K. Schiltz

    Case Western Reserve University, United States

    1 publications · 38 citations

    1

    h-index

1–5 of 98

Venues

  1. Biometrika

    2 publications · 165 citations

    2

    h-index

  2. The Journal of Headache and Pain

    1 publications · 22 citations

    1

    h-index

  3. American Journal of Epidemiology

    AJE · 1 publications · 21 citations

    1

    h-index

  4. Epilepsia

    1 publications · 38 citations

    1

    h-index

  5. 1

    h-index

1–5