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.
IDpatient ID, there are 312 patients in total.
Timesurvival time (in years), i.e. time to death, transplantion or censoring.
deathdeath indicator: 0 denotes transplantion or censoring; 1 denotes death.
obstimetime points at which the longitudinal measurements, e.g. serum bilirubin, albumin and alkaline phosphatase, are recorded.
serBilirserum bilirubin measured at obstime (mg/dl).
albuminalbumin measured at obstime (gm/dl).
alkalinealkaline phosphatase measured at obstime (U/litter).
plateletsplatelets per cubic measured at obstime (ml/1000).
drugdrug indicator with two levels: placebo and D-penicil.
ageage of patient at study entry.
gendergender indicator with two levels: male and female.
ascitesascites indicator with two levels: No and Yes.
hepatomhepatomegaly indicator with two levels: No and Yes.
startsame with obstime, starting time of the interval which contains the time of the logitudinal measurements.
stopending time of the interval which contains the time of the longitudinal measurements.
eventevent indicator suggesting whether the event-of-interest, i.e. death, happens in the interval given by start and stop.
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.