R package beanz: Bayesian Analysis of Heterogeneous Treatment Effect. It is vital to assess the heterogeneity of treatment effects (HTE) when making health care decisions for an individual patient or a group of patients. Nevertheless, it remains challenging to evaluate HTE based on information collected from clinical studies that are often designed and conducted to evaluate the efficacy of a treatment for the overall population. The Bayesian framework offers a principled and flexible approach to estimate and compare treatment effects across subgroups of patients defined by their characteristics. This package allows users to explore a wide range of Bayesian HTE analysis models, and produce posterior inferences about HTE.
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References in zbMATH (referenced in 1 article , 1 standard article )
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- Chenguang Wang; Thomas Louis; Nicholas Henderson; Carlos Weiss; Ravi Varadhan: beanz: An R Package for Bayesian Analysis of Heterogeneous Treatment Effects with a Graphical User Interface (2018) not zbMATH