Description

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.

Usage

Format

A list containing the design matrix X and response matrix y

Source

https://cran.r-project.org/package=survival

References

• Kalbfleisch D and Prentice RL (1980), The Statistical Analysis of Failure Time Data. Wiley, New York.

See Also

ncvsurv