bayesmeta: Bayesian Random-Effects Meta-Analysis and Meta-Regression

Christian Röver

14 citations0/0 files stored

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Meta-analysis and systematic reviews Statistical Methods and Bayesian Inference Data Analysis with R

Abstract

A collection of functions allowing to derive the posterior distribution of the model parameters in random-effects meta-analysis or meta-regression, and providing functionality to evaluate joint and marginal posterior probability distributions, predictive distributions, shrinkage effects, posterior predictive p-values, etc.; For more details, see also Roever C (2020) <doi:10.18637/jss.v093.i06>, or Roever C and Friede T (2022) <doi:10.1016/j.cmpb.2022.107303>.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 14 citations exist upstream.

References

2010Conducting Meta-Analyses in R with the metafor Package 2019Cochrane Handbook for Systematic Reviews of Interventions 2011Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials 2011Interpretation of random effects meta-analyses 1997The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials 2001Forest plots: trying to see the wood and the trees 2015Hartung-Knapp-Sidik-Jonkman approach and its modification for random-effects meta-analysis with few studies 2005In an empirical evaluation of the funnel plot, researchers could not visually identify publication bias

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.