Bayesian Meta-regression

Bayesian Meta-Regression is a statistical method that extends Bayesian meta-analysis by modeling heterogeneity in effect sizes through the inclusion of study-level covariates, thereby enabling the assessment of how contextual or methodological factors modulate the magnitude of effects across studies.

144

Publications

52.3K

Citations

3.3K

Authors

350

Institutions

Publications per year

2017–2026

88

Publications

144

1–5 of 144

Authors

3.3K

  1. TV
    Theo Vos

    Institute for Health Metrics and Evaluation, United States

    21 publications · 29.5K citations

    21

    h-index

  2. SI
    Simon I Hay

    Institute for Health Metrics and Evaluation, United States

    17 publications · 34.8K citations

    17

    h-index

  3. CJ
    Christopher J L Murray

    Institute for Health Metrics and Evaluation, United States

    18 publications · 35.6K citations

    17

    h-index

  4. AH
    Ali H. Mokdad

    Institute for Health Metrics and Evaluation, United States

    16 publications · 34.3K citations

    16

    h-index

  5. MN
    Mohsen Naghavi

    Institute for Health Metrics and Evaluation, United States

    12 publications · 31.3K citations

    12

    h-index

1–5 of 3.3K

Venues

  1. Statistics in Medicine

    9 publications · 962 citations

    9

    h-index

  2. The Lancet Infectious Diseases

    6 publications · 5.3K citations

    6

    h-index

  3. BMC Medical Research Methodology

    5 publications · 973 citations

    5

    h-index

  4. The Lancet

    4 publications · 16.4K citations

    4

    h-index

  5. The Lancet Neurology

    3 publications · 11K citations

    3

    h-index

1–5