aidsCohort {icensBKL} | R Documentation |
AIDS Cohort Study on Patients with Hemophilia
Description
The study population for this example consists of 257 individuals with Type A or B hemophilia who had been treated at two French hospitals since 1978. These patients were at risk for infection by the human immunodeficiency virus (HIV) through contaminated blood factor received for their treatment. By the time of analysis, 188 patients were found to be infected with the virus, 41 of whom subsequently progressed to the acquired immunodeficiency syndrome (AIDS) or other related clinical symptoms. For reasons of simplicity, we refer to all of these events as AIDS. The primary goal of the analysis was to assess the effects of level of treatment received for hemophilia, and age, on the risk of developing AIDS-related symptoms.
The time scale was obtained by dividing the real time axis into 6-month
intervals, with T=1
denoting the time period from January 1,
1978 to June 30, 1978.
Usage
data(aidsCohort)
Format
a data frame with 257 rows and the following variables
- L.Y
left (lower) limit of interval containing the infection time.
- R.Y
right (upper) limit of interval containing the infection time. It is equal to
NA
for those with right-censored infection time atL.Y
.- L.Z
left (lower) limit of interval containing the time of the first clinical symptoms. It is equal to
NA
for those who were not infected by the end of the study period.- R.Z
right (upper) limit of interval containing the time of the first clinical symptoms. It is equal to
NA
for those who were not infected by the end of the study period or for those whose time of the first clinical symptoms is right-censored atL.Z
.- age
the age covariate which is equal to 1 if the estimated age at time infection is
<20
years, and 2 otherwise.- group
treatment group. It is 0 for lightly treated group and 1 for heavily treated group.
- fage
factor
variable created fromage
.- fgroup
factor
variable created fromgroup
.
Source
Kim, M. Y., De Gruttola, V. G., and Lagakos, S. W. (1993). Analyzing doubly censored data with covariates, with application to AIDS. Biometrics, 49, 13-22.
Examples
data("aidsCohort", package="icensBKL")
summary(aidsCohort)