bcos

bcos.grid


  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.


datasets

Functions to fit time-varying coefficient models for interval
censored and right censored survival data. Three major
approaches are implemented: 1) Bayesian Cox model with
time-independent, time-varying or dynamic coefficients for
right censored and interval censored data; 2) Spline based
time-varying coefficient Cox model for right censored data;
3) Transformation model with time-varying coefficients for
right censored data using estimating equations.

Jun Yan

dynsurv

Dynamic models for survival data

bcos function

<code>bcos</code> is a data frame with 94 observations and 3 columns.
  <dl>
    <dt><code>left</code>:</dt><dd>left censoring time.</dd> <dt><code>right</code>:</dt><dd>right censoring time.</dd> <dt><code>trt</code>:</dt><dd>treatment, (<code>Rad</code> = radiotherapy only,
      <code>RadChem</code> = radiotherapy plus chemotherapy).</dd> </dl> <code>bcos.grid</code> is a numeric vector of grid time points.

bcos: Breast Cancer Data

Description

Usage

Arguments

Format

References

Examples