Aspirin during pregnancy example data
Artificial insemination of cows example data
Bayesian random-effects meta-regression
Historical variance example data
(Log-Normal) heterogeneity priors for binary outcomes
as proposed by Turner et al. (2015).
Bayesian Random-Effects Meta-Analysis and Meta-Regression
8-schools example data
Postoperative complication odds example data
Convolution of two probability distributions
Bayesian random-effects meta-analysis
Half-logistic distribution.
Generate a forest plot for a bayesmeta
object
(based on the metafor
package's plotting functions).
Generate a forest plot for an escalc
object
(based on the forestplot
package's plotting functions).
Half-normal, half-Student-t and half-Cauchy distributions.
Generate a forest plot for a bmr
object
(based on the forestplot
package's plotting functions).
Effective sample size (ESS)
The Rayleigh distribution.
The Lomax distribution.
Generate a forest plot for a bayesmeta
object
(based on the forestplot
package's plotting functions).
Inverse-Chi distribution.
Illustrate conditional means of study-specific estimates as well as
overall mean (or other linear combinations) as a function of
heterogeneity.
Illustrate the posterior mean weights for a bayesmeta
object.
Posterior predictive \(p\)-values
Generate a funnel plot for a bayesmeta
object.
Summarizing a bmr
object).
Unit information standard deviation
Generate summary plots for a bayesmeta
object.
Compute normal mixtures
Kullback-Leibler divergence of two multivariate normal distributions.
Multiple sclerosis disability progression example data
Aspirin after myocardial infarction example data
JIA example data
Heterogeneity priors for continuous outcomes (standardized mean
differences) as proposed by Rhodes et al. (2015).
Ankylosing spondylitis example data
Pediatric liver transplant example data
Fly counts example data
Liver transplant example data
COPD example data
Direct and indirect comparison example data