pbc: Mayo Clinic Primary Biliary Cirrhosis Data
In JSM: Semiparametric Joint Modeling of Survival and Longitudinal Data

Description Format Source References Examples

A randomized control trial from Mayo Clinic in which both survival and longitudinal data were collected from 1974 to 1984 to study the progression of primary biliary cirrhosis.

A data frame with 1945 observations on the following 16 variables.

ID: patient ID, there are 312 patients in total.
Time: survival time (in years), i.e. time to death, transplantion or censoring.
death: death indicator: 0 denotes transplantion or censoring; 1 denotes death.
obstime: time points at which the longitudinal measurements, e.g. serum bilirubin, albumin and alkaline phosphatase, are recorded.
serBilir: serum bilirubin measured at obstime (mg/dl).
albumin: albumin measured at obstime (gm/dl).
alkaline: alkaline phosphatase measured at obstime (U/litter).
platelets: platelets per cubic measured at obstime (ml/1000).
drug: drug indicator with two levels: placebo and D-penicil.
age: age of patient at study entry.
gender: gender indicator with two levels: male and female.
ascites: ascites indicator with two levels: No and Yes.
hepatom: hepatomegaly indicator with two levels: No and Yes.
start: same with obstime, starting time of the interval which contains the time of the logitudinal measurements.
stop: ending time of the interval which contains the time of the longitudinal measurements.
event: event indicator suggesting whether the event-of-interest, i.e. death, happens in the interval given by start and stop.

http://lib.stat.cmu.edu/datasets/pbcseq

Fleming, T. and Harrington, D. (1991) Counting Processes and Survival Analysis. Wiley, New York.

Murtaugh, P. A., Dickson, E. R., Van Dam, G. M., Malincho, M., Grambsch, P. M., Langworthy, A. L., and Gips, C. H. (1994) Primary biliary cirrhosis: Prediction of short-term survival based on repeated patient visits. Hepatology 20, 126–134.

Therneau, T. and Grambsch, P. (2000) Modeling Survival Data: Extending the Cox Model. New York: Springer.

Ding, J. and Wang, J. L. (2008) Modeling longitudinal data with nonparametric multiplicative random effects jointly with survival data. Biometrics 64, 546–556.

head(pbc)

Loading required package: nlme
Loading required package: splines
Loading required package: statmod
Loading required package: survival

Attaching package: 'JSM'

The following object is masked from 'package:survival':

    pbc

  ID     Time death   obstime serBilir albumin alkaline platelets      drug
1  1  1.09517     1 0.0000000     14.5    2.60     1718       190 D-penicil
2  1  1.09517     1 0.5256817     21.3    2.94     1612       183 D-penicil
3  2 14.15234     0 0.0000000      1.1    4.14     7395       221 D-penicil
4  2 14.15234     0 0.4983025      0.8    3.60     2107       188 D-penicil
5  2 14.15234     0 0.9993429      1.0    3.55     1711       161 D-penicil
6  2 14.15234     0 2.1027270      1.9    3.92     1365       122 D-penicil
       age gender ascites hepatom     start      stop event
1 58.76684 female     Yes     Yes 0.0000000 0.5256817     0
2 58.76684 female     Yes     Yes 0.5256817 1.0951703     1
3 56.44782 female      No     Yes 0.0000000 0.4983025     0
4 56.44782 female      No     Yes 0.4983025 0.9993429     0
5 56.44782 female      No     Yes 0.9993429 2.1027270     0
6 56.44782 female      No     Yes 2.1027270 4.9008871     0