Una nota sobre un procedimiento bayesiano para meta-análisis con datos binarios con alta presencia de ceros

The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in each study/center and the meta-effectiveness. We present an objective Bayesian method where all quantities of interest jointly with a Bayesian test for equality between treatments are also obtained. A couple of examples with are developed in depth using the pro- posed Bayesian meta-analysis for the binomial model. Basically, we obtain a Bayesian model for meta-analysis for sparse binomial data without considering transformations and/or corrections in variable/parameters. In respect to the examples considered, we do not find a relevant difference between treatments.