Deviation Pattern Analysis

Deviation Pattern Analysis is a retrospective validation method that identifies and examines systematic departures from expected performance trends in historical data to assess the reliability and consistency of validated processes.

17

Publications

997

Citations

40

Authors

23

Institutions

Publications per year

2017–2026

2

Authors

40

  1. PT
    Pingbo Tang

    Arizona State University, United States

    2 publications · 107 citations

    2

    h-index

  2. DH
    Daniel Huber

    Aarhus University, Denmark

    2 publications · 107 citations

    2

    h-index

  3. BA
    Burcu Akinci

    Carnegie Mellon University, United States

    2 publications · 107 citations

    2

    h-index

  4. EB
    Engin Burak Anil

    Carnegie Mellon University, United States

    2 publications · 107 citations

    2

    h-index

  5. VP
    V.A. Postnikov

    Russian Academy of Sciences, Russia

    1 publications · 12 citations

    1

    h-index

1–5 of 40

Venues

  1. 2

    h-index

  2. Eye

    1 publications · 11 citations

    1

    h-index

  3. BMC Oral Health

    1 publications · 22 citations

    1

    h-index

  4. Talanta

    1 publications · 13 citations

    1

    h-index

  5. PubMed

    Repository · 1 publications · 15 citations

    1

    h-index

1–5