E-Books →Bayesian Meta-Analysis

Key FeaturesIntroductory chapters assume no prior experience or mathematical training, and are aimed at non-statistical researchersExamples of basic meta-analyses in seven different software alternatives: BUGS, JAGS, Stan, bayesmeta, brms, Stata, and JASPPractical advice on extracting information from studies, eliciting expert opinions, managing project decisions, and writing up findingsDiscussion of specific problems, including publication bias, unreported statistics, and a mixture of study designs, with code examplesAccompanying online blog and forum, with all code and data from the book, plus more translations to different softwareThis book aims to bridge the gap between the researcher who wants to carry out tailored meta-analysis and the techniques they need, which have previously been available only in mathematically or computationally demanding publications.