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

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

In patient-centered outcomes research, it is essential 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...

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Bibliographic Details
Main Authors: Chenguang Wang, Thomas A. Louis, Nicholas C. Henderson, Carlos O. Weiss, Ravi Varadhan
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2018-06-01
Series:Journal of Statistical Software
Subjects:
Bayesian analysis
HTE
GUI
patient-centered outcomes research
R
shiny
Stan
subgroup Analysis
web-based Bayesian analysis
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2704

Internet

https://www.jstatsoft.org/index.php/jss/article/view/2704

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