bcos

<p>94 early breast cancer patients who had been treated with primary radiation therapy and adjuvant chemotherapy and with radiotherapy alone for the treatment. A patient due to monitored weekly or monthly for a clinically observable change in breast cancer status and may return with a changed status. For this case, we know the changed status is between ( \(L\), \(R\) ].</p>

datasets

Fit a threshold regression model for Interval Censored Data based on the first-hitting-time of a boundary by the sample path of a Wiener diffusion process. The threshold regression methodology is well suited to applications involving survival and time-to-event data.

ManHua Chen

thregI

Threshold Regression for Interval-Censored Data with a Cure Rate
Option

bcos function

<p></p><table><tr><td>
     id:</td>
<td> subject recorded in the data set</td>
</tr><tr><td>
    left:</td>
<td> breast cancer status return with a changed status after time \(L\)</td>
</tr><tr><td>
    right:</td>
<td> breast cancer status return with a changed status after time \(R\)</td>
</tr><tr><td>
    treatment:</td>
<td> Radiation = radiation therapy, RadChemo = radiation therapy with chemotherapy</td>
</tr></table>

bcos: Breast Cosmesis Data

Description

Usage

Arguments

Format

References

id:	subject recorded in the data set
left:	breast cancer status return with a changed status after time \(L\)
right:	breast cancer status return with a changed status after time \(R\)
treatment:	Radiation = radiation therapy, RadChemo = radiation therapy with chemotherapy