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.
X: A design matrix with 137 observations (rows) and 9 predictor variables (columns). The columns are:
trt: Treatment indicator (1=control group, 2=treatment group)
karno: Karnofsky performance score (0=bad, 100=good)
diagtime: Time from diagnosis to randomization (months)
age: Age (years)
prior: Prior therapy (0=no, 1=yes)
squamous: Indicator for whether the cancer type is squamous cell carcinoma (0=no, 1=yes)
small: Indicator for whether the cancer type is small cell lung cancer (0=no, 1=yes)
adeno: Indicator for whether the cancer type is adenocarcinoma (0=no, 1=yes)
large: Indicator for whether the cancer type is large cell carcinoma (0=no, 1=yes)
y: 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.
data(Lung)A list containing the design matrix X and response matrix
y
Kalbfleisch D and Prentice RL (1980), The Statistical Analysis of Failure Time Data. Wiley, New York.