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PROreg: Patient Reported Outcomes Regression Analysis

PROreg R package

This R package implements regression methods for discrete, bounded outcomes with the particular interest in patient-reported outcomes including mixed-effects models.

Author(s):

• Josu Najera-Zuloaga (josunajera@gmail.com),

• Dae-Jin Lee (dlee@bcamath.org) and

• Inmaculada Arostegui (inmaculada.arostegui@ehu.eus)

Installation of PROreg using devtools

R version >3.2.3 required

install.packages("devtools")
library(devtools)
install_github("idaejin/PROreg")

References

• Najera-Zuloaga, J., Lee, D.-J., and Arostegui, I. (2018), "A beta-binomial mixed-effects model approach for analysing longitudinal discrete and bounded outcomes". To appear in Biometrical Journal.

• Najera-Zuloaga, J., Lee, D.-J., and Arostegui, I. (2018), "Comparison of beta-binomial regression model approaches to analyze health-related quality of life data". Statistical Methods Medical Research. Oct, 27(10):2989-3009. https://doi.org/10.1177/0962280217690413