
  Competing risk data set involving Hodgkin's disease.


datasets

A unified treatment of Breiman's random forests for survival, regression and classification problems based on Ishwaran and Kogalur's random survival forests (RSF) package.  The package runs in both serial and parallel (OpenMP) modes. Now extended to include multivariate and unsupervised forests.

Udaya Kogalur

randomForestSRC

Random Forests for Survival, Regression and Classification
(RF-SRC)

hd function

A data frame containing:
  <table><tr><td>
    age      </td>
</tr><tr><td> age</td>
</tr><tr><td>
    sex      </td>
</tr><tr><td> gender</td>
</tr><tr><td>
	  trtgiven </td>
</tr><tr><td> treatment: RT=radition, CMT=Chemotherapy and radiation</td>
</tr><tr><td>
	  medwidsi </td>
</tr><tr><td> mediastinum involvement: N=no, S=small, L=Large</td>
</tr><tr><td>
	  extranod </td>
</tr><tr><td> extranodal disease: Y=extranodal disease, N=nodal disease</td>
</tr><tr><td>
    clinstg	 </td>
</tr><tr><td> clinical stage: 1=stage I, 2=stage II</td>
</tr><tr><td>
    time     </td>
</tr><tr><td> first failure time</td>
</tr></table>

Format

Table 1.6b, <em>Competing Risks: A Practical Perspective</em>.

hd: Hodgkin's Disease

Description

Arguments

Format

Source

References