Risk Factor Data Quality Control

Risk Factor Data Quality Control is a methodological framework within risk factor data management that systematically ensures the accuracy, completeness, consistency, and reliability of risk factor data through standardized validation, monitoring, and correction procedures.

7

Publications

204

Citations

30

Authors

15

Institutions

Publications per year

2017–2026

1

Authors

30

  1. AD
    Alain DuChêne

    University of Minnesota, United States

    2 publications · 84 citations

    2

    h-index

  2. GR
    Gerald R. Cooper

    Centers for Disease Control and Prevention, United States

    1 publications · 21 citations

    1

    h-index

  3. AC
    Adaeze C. Wosu

    Johns Hopkins University, United States

    1 publications · 58 citations

    1

    h-index

  4. SD
    Simon de Lusignan

    University of Surrey, United Kingdom

    1 publications · 20 citations

    1

    h-index

  5. AL
    Alain Labrique

    Johns Hopkins University, United States

    1 publications · 58 citations

    1

    h-index

1–5 of 30

Venues

  1. Controlled Clinical Trials

    3 publications · 102 citations

    3

    h-index

  2. 1

    h-index

  3. Family Practice

    1 publications · 20 citations

    1

    h-index

  4. Journal of Clinical Epidemiology

    1 publications · 13 citations

    1

    h-index

  5. Journal of Medical Internet Research

    1 publications · 58 citations

    1

    h-index

1–5