ESMARConf2023: {PubBias} tutorial

(13:)

ESMARConf2023: {PublicationBias, phacking, and multibiasmeta} tutorial

(16:17)

ESMARConf2023: {metaBMA} tutorial

(19:58)

ESMARConf2023: {metamedian} tutorial

(11:18)

ESMARConf2023: {metasens} tutorial

(19:40)

ESMARConf2023: {RoBMA} tutorial

(16:50)

ESMARConf2023: Workshop 5 - Network meta-analysis using R package netmeta

(1:59:32)

Meta-Analysis in R with {metafor}

(1:40:41)

Finding clarity in complexity: an introduction to the concept of network meta-analysis

(34:30)

Bayesian Modeling with R and Stan (Reupload)

(52:47)

Meta analysis of dependent effect sizes Robust variance estimation with {clubSandwich}

(32:35)

How to perform a Bayesian meta-analysis in R

(23:)

Bayesian model average (BMA model) for selecting the best model (molecular descriptor) in QSAR study

(16:39)

Meta analysis of continuous or difference measures in R

(1:9:48)

How to perform a meta-analysis in R

(27:58)

Complete Meta Analysis with R studio

(33:9)

ESMARConf2023: {rankheatplot} tutorial

(13:5)

ESMARConf2023: {MetaPipeX} tutorial

(20:50)

ESMARConf2023: {screenmedR} tutorial

(12:12)

ESMARConf2023: {metameta} tutorial

(10:23)

ESMARConf2023: screenmedR: a package for automating the screening of publications for meta-analysis

(10:35)

ESMARConf2023: {gmeta} tutorial

(25:23)

ESMARConf2023: {RBesT} tutorial

(14:46)

ESMARConf2023: {estmeansd} tutorial

(9:17)

ESMARConf2023: {rnmamod} tutorial

(14:24)

ESMARConf2023: {metacart} tutorial

(14:5)

ESMARConf2023: {metaSurvival} tutorial

(22:35)