A longitudinal data set containing measurements on 500 subjects, each with their own sequence of follow-up time points collected at irregularly spaced follow-up time points.
A data frame with 8462 observations on the following 6 variables.
a numeric vector: subject identification
a numeric vector: 0 = male, 1 = female
a numeric vector: baseline age in years
a numeric vector: follow-up time in years
a numeric vector: piecewise linear term, calculated as, max(0, age-56.5)
a numeric vector: response variable representing natural logarithm of estimated glomerular filtration rate
For the details of the true parameter settings, see Diggle, Sousa and Asar (2015).
Diggle PJ, Sousa I, Asar O (2015) Real time monitoring of progression towards renal failure in primary care patients. Biostatistics, 16(3), 522-536.