A randomized clinical trial in which both longitudinal and survival data were collected to compare the efficacy and
safety of two antiretroviral drugs in treating patients who had failed or were intolerant of zidovudine (AZT) therapy.
Format
A data frame with 1408 observations on the following 9 variables.
patient
patients identifier; in total there are 467 patients.
Time
the time to death or censoring.
death
a numeric vector with 0 denoting censoring and 1 death.
CD4
the CD4 cells count.
obstime
the time points at which the CD4 cells count was recorded.
drug
a factor with levels ddC denoting zalcitabine and ddI denoting didanosine.
gender
a factor with levels female and male.
prevOI
a factor with levels AIDS denoting previous opportunistic infection (AIDS
diagnosis) at study entry, and noAIDS denoting no previous infection.
AZT
a factor with levels intolerance and failure denoting AZT intolerance and
AZT failure, respectively.
Note
The data frame aids.id contains the first CD4 cell count measurement for each patient. This data frame is used to
fit the survival model.
Goldman, A., Carlin, B., Crane, L., Launer, C., Korvick, J., Deyton, L. and Abrams, D. (1996) 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 Retrovirology11, 161–169.
Guo, X. and Carlin, B. (2004) Separate and joint modeling of longitudinal and event time data using standard
computer packages. The American Statistician58, 16–24.
Examples
summary(aids.id)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
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> library(JM)
Loading required package: MASS
Loading required package: nlme
Loading required package: splines
Loading required package: survival
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/JM/aids.Rd_%03d_medium.png", width=480, height=480)
> ### Name: aids
> ### Title: Didanosine versus Zalcitabine in HIV Patients
> ### Aliases: aids aids.id
> ### Keywords: datasets
>
> ### ** Examples
>
> summary(aids.id)
patient Time death CD4 obstime
1 : 1 Min. : 0.47 Min. :0.0000 Min. : 0.000 Min. :0
2 : 1 1st Qu.:10.23 1st Qu.:0.0000 1st Qu.: 3.317 1st Qu.:0
3 : 1 Median :13.20 Median :0.0000 Median : 6.083 Median :0
4 : 1 Mean :12.63 Mean :0.4026 Mean : 7.129 Mean :0
5 : 1 3rd Qu.:16.23 3rd Qu.:1.0000 3rd Qu.:10.440 3rd Qu.:0
6 : 1 Max. :21.40 Max. :1.0000 Max. :19.235 Max. :0
(Other):461
drug gender prevOI AZT start
ddC:237 female: 45 noAIDS:160 intolerance:292 Min. :0
ddI:230 male :422 AIDS :307 failure :175 1st Qu.:0
Median :0
Mean :0
3rd Qu.:0
Max. :0
stop event
Min. : 0.470 Min. :0.0000
1st Qu.: 2.000 1st Qu.:0.0000
Median : 2.000 Median :0.0000
Mean : 2.856 Mean :0.1049
3rd Qu.: 2.000 3rd Qu.:0.0000
Max. :19.570 Max. :1.0000
>
>
>
>
>
> dev.off()
null device
1
>