Case Misclassification Assessment

Case Misclassification Assessment is a methodological framework within epidemiological and clinical research that systematically evaluates the extent and impact of incorrect classification of individuals into case or non-case categories, distinguishing itself by its focus on quantifying and mitigating biases arising from diagnostic or labeling inaccuracies in observational and experimental study designs.

69

Publications

3.5K

Citations

252

Authors

138

Institutions

Publications per year

2017–2026

15

Authors

252

  1. SG
    Sander Greenland

    University of California, Los Angeles, United States

    3 publications · 587 citations

    3

    h-index

  2. CD
    Carolyn Drews‐Botsch

    Emory University, United States

    2 publications · 132 citations

    2

    h-index

  3. MJ
    Michele Jönsson Funk

    University of North Carolina at Chapel Hill, United States

    2 publications · 268 citations

    2

    h-index

  4. HB
    Hermann Brenner

    Heidelberg University, Germany

    2 publications · 69 citations

    2

    h-index

  5. DA
    David A. Savitz

    University of North Carolina at Chapel Hill, United States

    2 publications · 72 citations

    2

    h-index

1–5 of 252

Venues

  1. American Journal of Epidemiology

    AJE · 4 publications · 706 citations

    4

    h-index

  2. Journal of Clinical Epidemiology

    4 publications · 172 citations

    4

    h-index

  3. Statistics in Medicine

    3 publications · 178 citations

    3

    h-index

  4. Current Epidemiology Reports

    3 publications · 286 citations

    3

    h-index

  5. Pharmacoepidemiology and Drug Safety

    3 publications · 69 citations

    3

    h-index

1–5