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.


Reference manual

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2.1 by Chenguang Wang, 4 months ago

Browse source code at

Authors: Chenguang Wang [aut, cre], Ravi Varadhan [aut], Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R)

Documentation:   PDF Manual  

GPL (>= 3) license

Imports survival, methods, loo

Depends on Rcpp, rstan

Suggests knitr, shiny, anoint, rmarkdown, pander, shinythemes, DT, testthat

Linking to StanHeaders, rstan, BH, Rcpp, RcppEigen

See at CRAN