Bone marrow transplant data with 408 rows and 5 columns.

datasets

Programs for Martinussen and Scheike (2006), `Dynamic Regression
Models for Survival Data', Springer Verlag.  Plus more recent developments.
Additive survival model, semiparametric proportional odds model, fast
cumulative residuals, excess risk models and more. Flexible competing risks
regression including GOF-tests. Two-stage frailty modelling. PLS for the
additive risk model. Lasso in the 'ahaz' package.

Thomas Scheike

timereg

Flexible Regression Models for Survival Data

Torben Martinussen

Jeremy Silver

Klaus K. Holst

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>

Format

The Bone Marrow Transplant Data — bmt

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

Arguments

Format

References

Examples