Confidence Interval Interpretation

Confidence Interval Interpretation is a statistical inference method that specifies the range within which a population parameter is estimated to lie with a stated probability, based on sample data, thereby distinguishing it from point estimation by quantifying uncertainty in terms of confidence level.

142

Publications

14.3K

Citations

251

Authors

166

Institutions

Publications per year

2017–2026

16

Authors

251

  1. GC
    Geoff Cumming

    La Trobe University, Australia

    7 publications · 2.5K citations

    7

    h-index

  2. DG
    Douglas G. Altman

    University of Oxford, United Kingdom

    3 publications · 2.9K citations

    3

    h-index

  3. FF
    Fiona Fidler

    The University of Melbourne, Australia

    3 publications · 488 citations

    3

    h-index

  4. DG
    Douglas G. Bonett

    Iowa State University, United States

    2 publications · 114 citations

    2

    h-index

  5. MB
    Martin Bland

    University of York, United Kingdom

    2 publications · 887 citations

    2

    h-index

1–5 of 251

Venues

  1. 5

    h-index

  2. Statistics in Medicine

    5 publications · 426 citations

    5

    h-index

  3. Educational and Psychological Measurement

    4 publications · 203 citations

    4

    h-index

  4. The American Statistician

    4 publications · 123 citations

    4

    h-index

  5. Psychological Methods

    3 publications · 656 citations

    3

    h-index

1–5