data.sim.ibm.heavy: A simulated data set under a mixed model with random...

In lmenssp: Linear Mixed Effects Models with Non-Stationary Stochastic Processes

Description

A longitudinal data set containing measurements on 100 subjects, each with their own sequence of follow-up time points collected at irregularly spaced follow-up time points.

Usage

data("data.sim.ibm.heavy")

Format

A data frame with 1636 observations on the following 6 variables.

id

a numeric vector: subject identification

sex

a numeric vector: 0 = male, 1 = female

bage

a numeric vector: baseline age in years

fu

a numeric vector: follow-up time in years

pwl

a numeric vector: piecewise linear term, calculated as, max(0, age-56.5)

log.egfr

a numeric vector: response variable representing natural logarithm of estimated glomerular filtration rate

Details

For the true parameter settings of the fixed effects and variance parameters, see Diggle, Sousa and Asar (2015). True degrees-of-freedom parameter is set to 5.

References

Asar O, Ritchie J, Kalra P, Diggle PJ (2015) Acute kidney injury amongst chronic kidney disease patients: a case-study in statistical modelling. To be submitted.

Diggle PJ, Sousa I, Asar O (2015) Real time monitoring of progression towards renal failure in primary care patients. Biostatistics, 16(3), 522-536.

Examples

data(data.sim.ibm.heavy)
str(data.sim.ibm.heavy)

lmenssp documentation built on May 2, 2019, 8:32 a.m.