COPD: COPD: chronic obstructive pulmonary disease

In idaejin/PROreg: Patient Reported Outcomes Regression Analysis

Description

The COPD Study is an observational study that was designed at the Respiratory Unit at Galdakao Hospital in Spain. Patients' COPD had to be stable for at least six months before enrolment, and they were followed up to five years with clinical examination and interviews. The health-status was measured with the generic questionnaire SF-36 Health Survey. The COPD data frame contains three dimensions (Role Physical, General Health and Role Emotional) of 543 patients recoded as a binomial form according to Arostegui et al. (2013). See function ?SF36rec. Patients are classified into 4 clusters or subtypes: A,B, C and D. Subtypes A, B, and C, had marked respiratory profiles with a continuum in severity of several variables and subtype D, had a more systemic profile with intermediate respiratory disease severity (see Esteban et al. 2016).

Usage

data(COPD)

Format

The COPD data frame contains the recoded scores based on

RP.

Role Physical. Integer values [0,1,2,3,4]

GH.

General Health. Integer values [0,1,2,...,20]

RE.

Role Emotional. Integer values [0,1,2,3]

time

Time points. Integer values [1,2,3,4]

sex

sex 1=male; 2=female

id

Individual, total of 543

cluster

cluster type "A","B","C" and "D"

dd

Days (integer)

dy

Days/365

Details

COPD data from Najera-Zuloaga et al. (2018).

References

• Arostegui, I., Nunez-Anton, V., and 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, 40:563-582. https://doi.org/10.1080/02664763.2012.749845

• Esteban, C., Arostegui, I., Aburto, M., Moraza, J., Quintana, J. M., Garcia-Loizaga, A., Basualdo, L. V., Aramburu, A., Aizpiri, S., Uranga, A., and Capelastegui, A. (2016). "Chronic obstructive pulmonary disease subtypes. Transitions over time". PLoS One, 11(9):e0161710.

• 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". Stat Methods Med Res. 2018 Oct:27(10):2989-3009.

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

Examples

data(COPD)
head(COPD)
str(COPD)

idaejin/PROreg documentation built on May 9, 2019, 5:04 a.m.