haartdat: HAART and Survival in HIV Patients

Description Usage Format Details Author(s) References See Also Examples

Description

Survival data measured in 1200 HIV positive patients. Start of follow-up is HIV seroconversion. Each row corresponds to a 100 day interval of follow-up time, using the counting process notation. Patients can initiate HAART therapy. CD4 count is a confounder for the effect of HAART on mortality.

Usage

1

Format

patient

patient ID

tstart

starting time for each interval of follow-up, measured in days since HIV seroconversion

fuptime

end time for each interval of follow-up, measured in days since HIV seroconversion

haartind

indicator for the initiation of HAART therapy at the end of the interval (0=HAART not initiated/1=HAART initiated).

event

indicator for death at the end of the interval (0=alive/1=died)

sex

sex (0=male/1=female)

age

age at the start of follow-up (years)

cd4.sqrt

square root of CD4 count, measured at fuptime, before haartind

Details

These data were simulated.

Patients can initiate HAART at fuptime=0. Therefore, to allow the fitting of a model predicting initiation of HAART, starting time for the first interval within each patient is negative (-100).

Author(s)

Willem M. van der Wal [email protected]

References

Van der Wal W.M. & Geskus R.B. (2011). ipw: An R Package for Inverse Probability Weighting. Journal of Statistical Software, 43(13), 1-23. http://www.jstatsoft.org/v43/i13/.

See Also

basdat, haartdat, ipwplot, ipwpoint, ipwtm, timedat, tstartfun.

Examples

1
#see ?ipwtm for example

Example output



ipw documentation built on May 30, 2017, 4:47 a.m.