Prevalent Case Selection

Prevalent Case Selection is a type of case sampling method in case-control studies wherein cases are selected based on their existing condition at a specific point in time, rather than on incident occurrences, thereby including individuals with longer disease duration and potentially biasing estimates toward factors associated with disease survival rather than onset.

9

Publications

426

Citations

45

Authors

27

Institutions

Publications per year

2017–2026

1

Authors

45

  1. EB
    Ettore Beghi

    Mario Negri Institute for Pharmacological Research, Italy

    2 publications · 81 citations

    2

    h-index

  2. TW
    Terri Warholak

    University of Arizona, United States

    1 publications · 30 citations

    1

    h-index

  3. YS
    Yiqing Song

    Harvard University, United States

    1 publications · 35 citations

    1

    h-index

  4. PP
    Pierre‐Marie Preux

    Institut d’Epidémiologie Neurologique et de Neurologie Tropicale, France

    1 publications · 27 citations

    1

    h-index

  5. BM
    Benôıt Marin

    Université de Limoges, France

    1 publications · 27 citations

    1

    h-index

1–5 of 45

Venues

  1. Journal of Clinical Neurology

    1 publications · 30 citations

    1

    h-index

  2. European Journal of Neurology

    1 publications · 27 citations

    1

    h-index

  3. Biometrika

    1 publications · 20 citations

    1

    h-index

  4. Neuroepidemiology

    1 publications · 54 citations

    1

    h-index

  5. OpenGrey (Institut de l'Information Scientifique et Technique)

    Repository · 1 publications · 13 citations

    1

    h-index

1–5