Statistical Process Validation

Statistical Process Validation is a formal methodology within the field of quality assurance and process engineering that employs statistical techniques to verify and document that a process consistently produces outputs meeting predetermined specifications and quality attributes under normal operating conditions.

10

Publications

1.5K

Citations

45

Authors

24

Institutions

Publications per year

2017–2026

3

Authors

45

  1. OR
    Oliver Rinner

    University of Zurich, Switzerland

    1 publications · 566 citations

    1

    h-index

  2. TP
    Timothy P. Hsu

    Warde Medical Laboratory, United States

    1 publications · 12 citations

    1

    h-index

  3. MG
    M. Granger Morgan

    Carnegie Mellon University, United States

    1 publications · 20 citations

    1

    h-index

  4. MO
    Michael O. Hengartner

    University of Zurich, Switzerland

    1 publications · 566 citations

    1

    h-index

  5. CL
    Chin-Hsu Lin

    Triangle, United States

    1 publications · 670 citations

    1

    h-index

1–5 of 45

Venues

  1. Nature Methods

    1 publications · 566 citations

    1

    h-index

  2. 1

    h-index

  3. Materials & Design

    1 publications · 25 citations

    1

    h-index

  4. Technometrics

    1 publications · 670 citations

    1

    h-index

  5. Vox Sanguinis

    1 publications · 12 citations

    1

    h-index

1–5