PROreg swMATH ID: 31552 Software Authors: Najera, Josu; Lee, Dae-Jin; Arostegui, Inmaculada Description: R package PROreg: Patient Reported Outcomes Regression Analysis. Offers a variety of tools, such as specific plots and regression model approaches, for analyzing different patient reported questionnaires. Specially, mixed-effects models based on the beta-binomial distribution are implemented to deal with binomial data with over-dispersion (see Najera-Zuloaga J., Lee D.-J. and Arostegui I. (2017) <doi:10.1177/0962280217690413>). Homepage: https://cran.r-project.org/web/packages/PROreg/index.html Source Code: https://github.com/cran/PROreg Dependencies: R Related Software: nlme; JM; pllf; HRQoL; R Cited in: 2 Documents Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year A beta-binomial mixed-effects model approach for analysing longitudinal discrete and bounded outcomes. Zbl 1429.62576Najera-Zuloaga, Josu; Lee, Dae-Jin; Arostegui, Inmaculada 2019 Cited by 4 Authors 2 Lee, Dae-Jin 2 Najera-Zuloaga, Josu 1 Arostegui, Inmaculada 1 Galán-Arcicollar, Cristina Cited in 2 Serials 1 Biometrical Journal 1 SORT. Statistics and Operations Research Transactions Cited in 1 Field 2 Statistics (62-XX) Citations by Year