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.
Format
A list of two objects: y and X
- y
A two column matrix (
Survobject) containing the follow-up time (in days) and an indicator variable for whether the patient died while on the study or not.- X
A matrix with 137 observations (rows) and 9 predictor variables (columns). The remainder of this list describes the columns of
X- 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, at baseline)
- 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)
References
Kalbfleisch D and Prentice RL (1980), The Statistical Analysis of Failure Time Data. Wiley, New York.