beanz

swMATH15358CRANbeanzMaRDI QIDQ27247

Bayesian Analysis of Heterogeneous Treatment Effect

Ravi Varadhan, Chenguang Wang

Last update: 9 August 2023

Copyright license: GNU General Public License

Software version identifier: 2.4, 1.0, 1.5, 1.6, 1.7.1, 1.7, 2.0, 2.1, 2.2, 2.3, 3.1

Source code repository: https://github.com/cran/beanz

Description

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. See Wang et al. (2018) <doi:10.18637/jss.v085.i07> for further details.

Cites work

• beanz: An R Package for Bayesian Analysis of Heterogeneous Treatment Effects with a Graphical User Interface

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