`Lung.Rd`

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.

`data(Lung)`

The `Lung`

object is a list containing three elements:

`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`

:Matrix of predictors`group`

:Vector describing how the columns of X are grouped

The matrix `X`

contains the following columns:

`trt`

:Treatment indicator (1=control group, 2=treatment group)`karno1`

,`karno2`

,`karno3`

:Orthogonal polynomials of first, second, and third degree representing Karnofsky performance score (0=bad, 100=good)`diagtime1`

,`diagtime2`

:Orthogonal polynomials of first and second degree representing time from diagnosis to randomization (months)`age1`

,`age2`

,`age3`

:Orthogonal polynomials of first, second, and third degree representing the patient's age in years`prior`

:Prior therapy (0=no, 1=yes)`squamous`

,`small`

,`adeno`

,`large`

:Indicators for the lung cancer cell type. For each subject, exactly one of these columns will be 1 and the rest 0.

Kalbfleisch D and Prentice RL (1980),

*The Statistical Analysis of Failure Time Data*. Wiley, New York.