Multiple Source Ascertainment

Multiple Source Ascertainment is a case ascertainment method that identifies cases through the integration of data from two or more distinct and complementary sources to enhance completeness and accuracy in epidemiological or clinical research.

32

Publications

2.9K

Citations

141

Authors

82

Institutions

Publications per year

2017–2026

3

Variants

Multiple-source Ascertainment

Authors

141

  1. JH
    J Haubrock

    German Institute of Human Nutrition, Germany

    2 publications · 858 citations

    2

    h-index

  2. UH
    Ulrich Harttig

    German Institute of Human Nutrition, Germany

    2 publications · 858 citations

    2

    h-index

  3. SK
    Sven Knüppel

    German Institute of Human Nutrition, Germany

    2 publications · 858 citations

    2

    h-index

  4. SL
    Suzan L. Carmichael

    Stanford University, United States

    2 publications · 164 citations

    2

    h-index

  5. ZK
    Zhanna Kaidarova

    University of California, San Francisco, United States

    2 publications · 164 citations

    2

    h-index

1–5 of 141

Venues

  1. PubMed

    Repository · 2 publications · 35 citations

    2

    h-index

  2. Acta Obstetricia Et Gynecologica Scandinavica

    2 publications · 52 citations

    2

    h-index

  3. Journal of Autism and Developmental Disorders

    2 publications · 135 citations

    2

    h-index

  4. American Journal of Epidemiology

    AJE · 2 publications · 174 citations

    2

    h-index

  5. 2

    h-index

1–5