Health Related Quality of Life regression analysis

HRQoL R package

This R package implements the use of Beta-binomial regression (with logistic link) for Health Related Quality of Life from SF-36 survey outcomes.

Author(s):

• Josu Najera-Zuloaga (jnajera@bcamath.org),
• Dae-Jin Lee (dlee@bcamath.org) and
• Inmaculada Arostegui (inmaculada.arostegui@ehu.eus)

Installation of HRQoL using devtools

R version >3.2.3 required

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

If you use this R package, please contact us or refer to the manuscript:

"Comparison of beta-binomial regression model approaches to analyze health related quality of life data". Najera-Zuloaga, J., Lee, D.-J., Arostegui, I. (submitted).

References

• Arostegui I., Nuñez-Antón V. & Quintana J. M. (2006): Analysis of short-form-36 (SF-36): The beta-binomial distribution approach, Statistics in Medicine, 26, 1318-1342.
• Arostegui I., Nuñez-Antón V. & Quintana J. M. (2010): Statistical approches to analyse patient-reported outcome as response variables: An application to health-related quality of life, Statistical Methods in Medical Research, 21, 189-214.
• Arostegui I., Nuñez-Antón V. & Quintana J. M. (2013): On the recoding of continuous and bounded indexes to a binomial form: an application to quality-of-life scores, Journal of Applied Statistics, 40:3, 563-583
• Breslow N. E. & Clayton D. G. (1993): Approximate Inference in Generalized Linear Mixed Models, Journal of the American Statistical Association, 88, 9-25.
• Forcina A. & Franconi L. (1988): Regression analysis with Beta-Binomial distribution, Revista di Statistica Applicata, 21.
• Lee Y. & Nelder J. A. (1996): Hierarchical generalized linear models, Journal of the Royal Statistical Society Series B, 58, 619-678.
• McCulloch C. E. & Searle S. R. (2001): Generalized, Linear, and Mixed Models, John Wiley & Sons.
• Pawitan Y. (2001): In All Likelihood: Statistical Modelling and Inference Using Likelihood, Oxford University Press.