Perform the paired log-rank test on the truncation times and the residual survival times to check the stationarity assumption (uniform truncation assumption) of the left-truncated right-censored data.

A semi-parametric estimation method for the Cox model
with left-truncated data using augmented information
from the marginal of truncation times.

Fan Wu

plac

A Pairwise Likelihood Augmented Cox Estimator for Left-Truncated
Data

plr function

<dl><dt>dat</dt>
<dd>a data.frame of left-truncated right-censored data.</dd>
<dt>A.name</dt>
<dd>the name of the truncation time variable in <code>dat</code>.</dd>
<dt>Y.name</dt>
<dd>the name of the survival time variable in <code>dat</code>.</dd>
<dt>D.name</dt>
<dd>the name of the event indicator in <code>dat</code>.</dd></dl>

Arguments

Perform the paired log-rank test. — plr

<dl>

<dt>dat</dt>
<dd>a data.frame of left-truncated right-censored data.</dd>


<dt>A.name</dt>
<dd>the name of the truncation time variable in <code>dat</code>.</dd>


<dt>Y.name</dt>
<dd>the name of the survival time variable in <code>dat</code>.</dd>


<dt>D.name</dt>
<dd>the name of the event indicator in <code>dat</code>.</dd>

</dl>

plr: Perform the paired log-rank test.

Description

Usage

Value

Arguments

References

Examples