Assay Data Validation

Assay Data Validation is a methodological framework within data validation that specifically ensures the accuracy, precision, and reliability of quantitative or qualitative measurements derived from biological or chemical assays by systematically verifying experimental reproducibility, instrument calibration, and compliance with predefined acceptance criteria.

66

Publications

3.4K

Citations

464

Authors

188

Institutions

Publications per year

2017–2026

16

Authors

464

  1. BV
    Barry V. McCleary

    Ultizyme International (Japan), Japan

    2 publications · 299 citations

    2

    h-index

  2. PV
    P Valdiguié

    Hôpital Rangueil, France

    2 publications · 86 citations

    2

    h-index

  3. MO
    Mark Odell

    University of Westminster, United Kingdom

    1 publications · 13 citations

    1

    h-index

  4. SK
    Susan Kirshner

    United States Food and Drug Administration, United States

    1 publications · 14 citations

    1

    h-index

  5. MW
    Mark Wissel

    LabCorp (United States), United States

    1 publications · 13 citations

    1

    h-index

1–5 of 464

Venues

  1. 5

    h-index

  2. Bioanalysis

    BIO · 3 publications · 93 citations

    3

    h-index

  3. Journal of AOAC International

    3 publications · 385 citations

    3

    h-index

  4. Journal of Biopharmaceutical Statistics

    JBS · 2 publications · 24 citations

    2

    h-index

  5. Environmental Health Perspectives

    EHP · 2 publications · 150 citations

    2

    h-index

1–5