Bone marrow transplant data with 408 rows and 5 columns.

package

Implementation of various statistical models for multivariate
event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate
cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random
effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>.
Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray,
Ghosh-Lin, Binomial regression) with fast computation of influence functions.

Klaus Holst

mets

Analysis of Multivariate Event Times

Klaus K. Holst

Thomas Scheike 

bmt function

The data has 408 rows and 5 columns.<dl>
<dt>cause</dt>
<dd>a
numeric vector code. Survival status. 1: dead from treatment related
causes, 2: relapse , 0: censored.</dd>
 <dt>time</dt>
<dd>a numeric vector. Survival
time.</dd>
 <dt>platelet</dt>
<dd>a numeric vector code. Plalelet 1: more than 100 x
\(10^9\) per L, 0: less.</dd>
 <dt>tcell</dt>
<dd>a numeric vector. T-cell depleted
BMT 1:yes, 0:no.</dd>
 <dt>age</dt>
<dd>a numeric vector code. Age of patient, scaled
and centered ((age-35)/15).</dd>
 
</dl>

bmt: The Bone Marrow Transplant Data

Description

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References

Examples