alessandromagrini/Medbetareg: Generalized Beta regression to elicit conditional distributions of medical variables

Software implementing the methodology proposed by Magrini et al. (2018) <DOI:10.17713/ajs.v47i3.629>. The elicitation of an informative prior distribution on parameters of a univariate conditional model is typically difficult when the response is a medical continuous variable, because some level of statistical training is required to a medical expert for interpreting parameters and for retrieving appropriate quantitative information about them. Magrini et al. (2018) proposed a generalized Beta regression where parameter elicitation is performed by establishing a correspondence among measured values expressed as relative positions within intervals with a clinical interpretation, regardless the original scales of variables.

Getting started

Package details

AuthorAlessandro Magrini
MaintainerAlessandro Magrini <alessandro.magrini@unifi.it>
LicenseGPL-2
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("alessandromagrini/Medbetareg")
alessandromagrini/Medbetareg documentation built on March 7, 2021, 4:54 p.m.