This dataset describes a randomized clinical trial (Goldman et al., 1996) in which both survival and longitudinal data were collected to compare the efficacy and safety of two antiretroviral drugs, namely ddI (didanosine) and ddC (zalcitabine), in treating HIV-infected patients intolerant or failing zidovudine (AZT) therapy.
data(aids)
A data.frame
in the unbalanced format with 1405 longitudinal
observations from 467 subjects. The columns are:
id
integer: number for patient identification.
time
numeric: time to death (or censoring).
death
integer: event indicator. Coded as 0 =
right-censoring, and 1 =
death.
obstime
numeric: measurement times for the repeated CD4 count measurements.
CD4
numeric: CD4 cell counts measured at obstime
.
drug
factor: drug indicator. Coded as ddI =
didanosine
and ddC =
zalcitabine.
gender
factor: gender indicator. Coded as male
and
female
.
prevOI
factor: opportunistic infection indicator. Coded as
AIDS =
AIDS diagnosis at study entry, and noAIDS =
no
previous infection.
AZT
factor: AZT intolerance/failure indicator. Coded as
intolerance
or failure
.
Goldman A, Carlin B, Crane L, Launer C, Korvick J, Deyton L, Abrams D. Response of CD4 and clinical consequences to treatment using ddI or ddC in patients with advanced HIV infection. Journal of Acquired Immune Deficiency Syndromes and Human Retrovirology. 1996; 11: 161-169 URL: http://www.biostat.umn.edu/~brad/data.html.
heart.valve
, epileptic
,
mental
, liver
.