README.md
In idaejin/HRQoL: Health Related Quality of Life Analysis
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.
idaejin/HRQoL documentation built on May 18, 2019, 2:32 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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.
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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