Longitudinal Data Standards

Longitudinal Data Standards is a systematic framework that specifies consistent formats, definitions, and protocols for the collection, management, and analysis of data gathered repeatedly over time from the same subjects to ensure validity, comparability, and reliability in epidemiologic research.

8

Publications

456

Citations

28

Authors

15

Institutions

Publications per year

2017–2026

3

Authors

28

  1. BR
    Barry Radler

    University of Wisconsin–Madison, United States

    2 publications · 198 citations

    2

    h-index

  2. JI
    Jorma I. Virtanen

    University of Oulu, Finland

    1 publications · 71 citations

    1

    h-index

  3. BP
    Bruce P. Hermann

    University of Wisconsin–Madison, United States

    1 publications · 26 citations

    1

    h-index

  4. KD
    Kimberly D. Mueller

    University of Wisconsin–Madison, United States

    1 publications · 26 citations

    1

    h-index

  5. MN
    Mark Nelson

    Georgia Institute of Technology, United States

    1 publications · 16 citations

    1

    h-index

1–5 of 28

Venues

  1. Open Health Data

    2 publications · 198 citations

    2

    h-index

  2. BMC Research Notes

    1 publications · 18 citations

    1

    h-index

  3. Institutional Repositories DataBase (IRDB)

    Repository · 1 publications · 61 citations

    1

    h-index

  4. Community Dentistry And Oral Epidemiology

    1 publications · 71 citations

    1

    h-index

  5. Alzheimer s & Dementia

    1 publications · 26 citations

    1

    h-index

1–5