Medbetareg-package: Generalized Beta Regression to Elicit Conditional...
In alessandromagrini/Medbetareg: Generalized Beta regression to elicit conditional distributions of medical variables
Description
Details
Author(s)
References
Description
Software implementing the methodology proposed by Magrini et al. (2018).
Details
Package: Medbetareg
Type: Package
Version: 1.0
Date: 2018-06-25
License: GPL-2
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.
Author(s)
Alessandro Magrini <alessandro.magrini@unifi.it>
References
A. Magrini, D. Luciani, and F. M. Stefanini (2018).
"Generalized Beta regression to elicit conditional distributions of medical variables".
Austrian Journal of Statistics, 47(3): 20-38. DOI: 10.17713/ajs.v47i3.629.
alessandromagrini/Medbetareg documentation built on March 7, 2021, 4:54 p.m.
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Description Details Author(s) References
Description
Software implementing the methodology proposed by Magrini et al. (2018).
Details
| Package: | Medbetareg |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2018-06-25 |
| License: | GPL-2 |
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.
Author(s)
Alessandro Magrini <alessandro.magrini@unifi.it>
References
A. Magrini, D. Luciani, and F. M. Stefanini (2018). "Generalized Beta regression to elicit conditional distributions of medical variables". Austrian Journal of Statistics, 47(3): 20-38. DOI: 10.17713/ajs.v47i3.629.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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