Bayesian Effect Size Estimation

Bayesian Effect Size Estimation is a statistical method that uses Bayesian inference to quantify the magnitude of an effect by estimating posterior distributions of effect sizes, incorporating prior knowledge and updating beliefs in light of observed data.

50

Publications

5.7K

Citations

136

Authors

100

Institutions

Publications per year

2017–2026

22

Authors

136

  1. SA
    Shen‐Hsing Annabel Chen

    Nanyang Technological University, Singapore

    2 publications · 999 citations

    2

    h-index

  2. DL
    Daniel Lüdecke

    Universität Hamburg, Germany

    2 publications · 999 citations

    2

    h-index

  3. MM
    Maarten Marsman

    University of Amsterdam, Netherlands

    2 publications · 69 citations

    2

    h-index

  4. EW
    Eric‐Jan Wagenmakers

    University of Amsterdam, Netherlands

    2 publications · 69 citations

    2

    h-index

  5. HR
    Henry Rouanet

    Université Paris Cité, France

    2 publications · 149 citations

    2

    h-index

1–5 of 136

Venues

  1. PLoS ONE

    3 publications · 105 citations

    3

    h-index

  2. Clinical Trials

    2 publications · 43 citations

    2

    h-index

  3. Journal of Statistical Planning and Inference

    2 publications · 37 citations

    2

    h-index

  4. Frontiers in Psychology

    2 publications · 976 citations

    2

    h-index

  5. Cognitive Neuropsychology

    2 publications · 556 citations

    2

    h-index

1–5