Confidence Interval Analysis

Confidence Interval Analysis is a statistical method that belongs to the class of inferential techniques used in quantitative research, specifically distinguished by its use of sample data to estimate a range of values within which a population parameter is expected to lie with a specified level of confidence.

651

Publications

85.9K

Citations

1.7K

Authors

743

Institutions

Publications per year

2017–2026

81

Authors

1.7K

  1. GC
    Geoff Cumming

    La Trobe University, Australia

    9 publications · 3.3K citations

    9

    h-index

  2. NM
    Natalie M. Steiger

    North Carolina State University, United States

    6 publications · 226 citations

    6

    h-index

  3. DG
    Douglas G. Altman

    University of Oxford, United Kingdom

    5 publications · 3.1K citations

    5

    h-index

  4. DG
    Douglas G. Bonett

    Iowa State University, United States

    5 publications · 2.3K citations

    5

    h-index

  5. GZ
    Guangyong Zou

    Western University, Canada

    4 publications · 1.5K citations

    4

    h-index

1–5 of 1.7K

Venues

  1. New England Journal of Medicine

    NEJM · 34 publications · 23K citations

    34

    h-index

  2. American Journal of Epidemiology

    AJE · 20 publications · 1.8K citations

    20

    h-index

  3. Statistics in Medicine

    21 publications · 8.5K citations

    19

    h-index

  4. PubMed

    Repository · 23 publications · 1.2K citations

    17

    h-index

  5. Diseases of the Colon & Rectum

    16 publications · 729 citations

    15

    h-index

1–5