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grpreg (version 3.5.0)

Lung: VA lung cancer data set

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.

Usage

Lung

Arguments

Format

A list of two objects: y and X

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.

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.

See Also

grpsurv()