bcos: Breast Cancer Data

In dynsurv: Dynamic Models for Survival Data

Breast Cancer Data

Description

The breast cancer data from Finkelstein (1985) has been analyzed extensively for illustrating new methods in modeling interval censored data. The objective of the study was to compare the time to cosmetic deterioration between two groups: 46 patients receiving radiotherapy only and 48 patients receiving radiotherapy plus chemotherapy. Because the detection of deterioration required a clinic visit, the 56 women who experience deterioration were interval censored, and the other38 women who did not were right censored.

Format

bcos is a data frame with 94 observations and 3 columns.

left:

left censoring time;

right:

right censoring time;

trt:

treatment (Rad = radiotherapy only, RadChem = radiotherapy plus chemotherapy).

bcos.grid is a numeric vector of grid time points.

References

D.M. Finkelstein, and R.A. Wolfe (1985). A semiparametric model for regression analysis of interval-censored failure time data. Biometrics 41: 731–740.

Examples

data(bcos)

dynsurv documentation built on Aug. 20, 2023, 1:07 a.m.