Lung: VA lung cancer data set

In grpreg: Regularization Paths for Regression Models with Grouped Covariates

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

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)

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

grpsurv()

grpreg documentation built on Sept. 11, 2024, 5:13 p.m.