Statistical Analysis Planning

Statistical Analysis Planning is a methodological framework that specifies the procedures, models, and criteria for analyzing data in a study, distinguishing itself from other planning components by its exclusive focus on the systematic application of statistical techniques to address research questions rigorously and reproducibly.

141

Publications

11.7K

Citations

328

Authors

186

Institutions

Publications per year

2017–2026

22

Authors

328

  1. PR
    Paul R. Cohen

    University of Massachusetts Amherst, United States

    4 publications · 76 citations

    4

    h-index

  2. SS
    Stanley S. Schor

    Sheba Medical Center, Israel

    3 publications · 313 citations

    3

    h-index

  3. RS
    Robert St. Amant

    North Carolina State University, United States

    3 publications · 65 citations

    3

    h-index

  4. DC
    Douglas C. Montgomery

    Arizona State University, United States

    3 publications · 391 citations

    3

    h-index

  5. WS
    William S. Cleveland

    Purdue University West Lafayette, United States

    3 publications · 377 citations

    3

    h-index

1–5 of 328

Venues

  1. Technometrics

    12 publications · 917 citations

    11

    h-index

  2. JAMA

    8 publications · 1.1K citations

    8

    h-index

  3. The American Statistician

    8 publications · 368 citations

    8

    h-index

  4. Biometrics

    5 publications · 435 citations

    5

    h-index

  5. Journal of Applied Polymer Science

    3 publications · 36 citations

    3

    h-index

1–5