Data from a randomised trial of two treatment regimens for lung cancer. This is a standard survival analysis data set from the classic textbook by Kalbfleisch and Prentice.
LungA list of two objects: y and X
A two column matrix (Surv object) containing the follow-up
time (in days) and an indicator variable for whether the patient died
while on the study or not.
A matrix with 137 observations (rows) and 9 predictor variables
(columns). The remainder of this list describes the columns of X
Treatment indicator (1=control group, 2=treatment group)
Karnofsky performance score (0=bad, 100=good)
Time from diagnosis to randomization (months)
Age (years, at baseline)
Prior therapy (0=no, 1=yes)
Indicator for whether the cancer type is squamous cell carcinoma (0=no, 1=yes)
Indicator for whether the cancer type is small cell lung cancer (0=no, 1=yes)
Indicator for whether the cancer type is adenocarcinoma (0=no, 1=yes)
Indicator for whether the cancer type is large cell carcinoma (0=no, 1=yes)
Kalbfleisch D and Prentice RL (1980), The Statistical Analysis of Failure Time Data. Wiley, New York.