Cross-study Harmonization

Cross-Study Harmonization is a methodological framework in batch effect correction that integrates data from multiple independent studies by removing non-biological, study-specific technical variation while preserving biologically relevant signals.

21

Publications

720

Citations

245

Authors

137

Institutions

Publications per year

2017–2026

15

Authors

245

  1. DM
    Dan Mungas

    University of California, Davis, United States

    2 publications · 48 citations

    2

    h-index

  2. ML
    Mary L. Marazita

    University of Pittsburgh, United States

    2 publications · 82 citations

    2

    h-index

  3. RN
    Richard N. Jones

    Hebrew SeniorLife, United States

    2 publications · 48 citations

    2

    h-index

  4. EM
    Erin M. Ramos

    National Human Genome Research Institute, United States

    2 publications · 82 citations

    2

    h-index

  5. CM
    Carol M. Hamilton

    RTI International, United States

    2 publications · 62 citations

    2

    h-index

1–5 of 245

Venues

  1. International Journal of Epidemiology

    2 publications · 169 citations

    2

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Human Brain Mapping

    1 publications · 112 citations

    1

    h-index

  5. The Journals of Gerontology Series B

    1 publications · 37 citations

    1

    h-index

1–5