Bayesian Fixed-effect Meta-analysis

Bayesian Fixed-Effect Meta-Analysis is a statistical synthesis method that assumes a single true effect size underlies all studies in the analysis, with observed differences attributed solely to sampling error, and incorporates prior distributions to estimate this common effect within a Bayesian framework.

11

Publications

561

Citations

53

Authors

29

Institutions

Publications per year

2017–2026

8

Variants

Bayesian Fixed-effect Meta-analyses

Authors

53

  1. JC
    Joseph Cesario

    Michigan State University, United States

    2 publications · 199 citations

    2

    h-index

  2. SV
    Sara van Erp

    Tilburg University, Netherlands

    2 publications · 199 citations

    2

    h-index

  3. EW
    Eric‐Jan Wagenmakers

    University of Amsterdam, Netherlands

    2 publications · 199 citations

    2

    h-index

  4. DW
    Daniel W. Heck

    University of Mannheim, Germany

    2 publications · 199 citations

    2

    h-index

  5. KJ
    Kai J. Jonas

    Maastricht University, Netherlands

    2 publications · 199 citations

    2

    h-index

1–5 of 53

Venues

  1. Medical Decision Making

    MDM · 2 publications · 63 citations

    2

    h-index

  2. Canadian Journal of Cardiology

    CJC · 1 publications · 53 citations

    1

    h-index

  3. Croatian Medical Journal

    CMJ · 1 publications · 42 citations

    1

    h-index

  4. Statistics in Medicine

    1 publications · 70 citations

    1

    h-index

  5. Phytopathology

    1 publications · 22 citations

    1

    h-index

1–5