Concepedia

Harbord's Test

Harbord's Test is a statistical method used to assess small-study effects in meta-analyses, distinguished by its application of a weighted regression approach to detect asymmetry in funnel plots, specifically designed for binary outcome data with improved performance over traditional tests in the presence of heterogeneity.

3

Publications

409

Citations

5

Authors

3

Institutions

Publications per year

2017–2026

0

Parents

Publications

3

1–3 of 3

Authors

5

  1. RH
    Ross Harris

    Public Health England, United Kingdom

    2 publications · 335 citations

    2

    h-index

  2. JA
    Jonathan A C Sterne

    University of Bristol, United Kingdom

    2 publications · 335 citations

    2

    h-index

  3. TS
    Thomas Steichen

    Reynolds American (United States), United States

    1 publications · 12 citations

    1

    h-index

  4. CB
    Colin B. Begg

    Memorial Sloan Kettering Cancer Center, United States

    1 publications · 74 citations

    1

    h-index

  5. RH
    Roger Harbord

    University of Bristol, United Kingdom

    1 publications · 323 citations

    1

    h-index

1–5 of 5

Institutions

3

  1. Memorial Sloan Kettering Cancer Center

    New York, United States

    1 h-index

    1 publications

    74 citations

  2. Institute of Infection and Immunity

    Québec, Canada

    1 h-index

    1 publications

    323 citations

  3. University of Bristol

    Bristol, United Kingdom

    1 h-index

    2 publications

    646 citations

1–3 of 3

Venues

  1. 1

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  2. Controlled Clinical Trials

    1 publications · 74 citations

    1

    h-index

  3. Statistical Software Components

    1 publications · 12 citations

    1

    h-index

1–3