bmtelder


This hypothetical data set gives the performance of allogenic bone marror transplantation for old patients. This data set is provided to illustrate the analysis with time-to-event data as covariates, in particular, competing risk regression.


datasets

Cox proportional hazard and competing risk regression analyses can be performed with time-to-event data as covariates.

Seongho Kim

time2event

Survival and Competing Risk Analyses with Time-to-Event Data as
Covariates

bmtelder function

This data frame consists of 50 individuals and the following columns:
<ul>
<li><code>os.t</code>Time from the date of transplantation to the date of death. Days
  </li>
<li><code>os.s</code>Status. 1 = death and 0 = censored
  </li>
<li><code>nrm.t</code>Time from the date of transplantation to the date of death without relapse, with relapse as competing risk. Days
  </li>
<li><code>nrm.s</code>Status. 2 = relapse, 1 = death, and 0 = censored
  </li>
<li><code>cgvhd.t</code>Time from the date of transplantation to the date of chronic graft-verse-host disease (GVHD). Days
  </li>
<li><code>cgvhd.s</code>Status. 1 = chronic GVHD and 0 = censored
  </li>
<li><code>cond</code>Conditioning regimen. Reduced intensity and full intensity
  </li>
<li><code>donor</code>donor to host matching. Allo Related (allogeneic related) and Allo Unrelated (allogeneic unrelated)
</li>
</ul> 

bmtelder: Bone marror transplant for old patients

Description

Usage

Arguments

Format