Statistical Validation

Statistical Validation is a systematic methodological process in Nuclear Magnetic Resonance Metabolomics that verifies the reliability, significance, and robustness of analytical results by applying statistical criteria to distinguish true metabolic patterns from random variation or overfitted models.

576

Publications

39.5K

Citations

2.8K

Authors

1.2K

Institutions

Publications per year

2017–2026

176

Authors

2.8K

  1. JH
    John H. Livingston

    The University of Tokyo, Japan

    6 publications · 503 citations

    6

    h-index

  2. CD
    Courtney D. Dressing

    University of California, Berkeley, United States

    6 publications · 634 citations

    6

    h-index

  3. AW
    Andrew W. Howard

    University of California, Berkeley, United States

    5 publications · 476 citations

    5

    h-index

  4. IJ
    Ian J. M. Crossfield

    California Institute of Technology, United States

    5 publications · 476 citations

    5

    h-index

  5. DR
    David R. Ciardi

    California Institute of Technology, United States

    5 publications · 476 citations

    5

    h-index

1–5 of 2.8K

Venues

  1. PLoS ONE

    13 publications · 494 citations

    13

    h-index

  2. PubMed

    Repository · 10 publications · 287 citations

    10

    h-index

  3. Scientific Reports

    9 publications · 315 citations

    9

    h-index

  4. BMC Bioinformatics

    8 publications · 293 citations

    8

    h-index

  5. Journal of Proteome Research

    JPR · 6 publications · 355 citations

    6

    h-index

1–5