Provides a new class of Bayesian metaanalysis models that we called "The Hierarchical MetaRegression" (HMR). The aim of HMR is to incorporate into the metaanalysis, the data collection process, which results in a model for the internal and external validity bias. In this way, it is possible to combine studies of different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS). The statistical methods and their applications are described in Verde (2019) <doi:10.1002/bimj.201700266> and in Verde (2017) <doi:10.5772/intechopen.70231>.
Package details 


Author  Pablo Emilio Verde [aut, cre] 
Maintainer  Pablo Emilio Verde <pabloemilio.verde@hhu.de> 
License  GPL (>= 2) 
Version  1.7.2 
Package repository  View on CRAN 
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