leaveOneOut

leaveOneOut.survival

leaveOneOut.competing.risks

Fast and user friendly implementation of nonparametric estimators
for censored event history (survival) analysis. Kaplan-Meier and
Aalen-Johansen method.

Thomas Alexander Gerds

prodlim

Product-Limit Estimation for Censored Event History Analysis

leaveOneOut function

<dl><dt>object</dt>
<dd>Object of class <code>"prodlim"</code>.</dd>
<dt>times</dt>
<dd>time points at which to compute leave-one-out
event/survival probabilities.</dd>
<dt>cause</dt>
<dd>Character (other classes are converted with <code>as.character</code>).
For competing risks the cause of interest.</dd>
<dt>lag</dt>
<dd>For survival models only. If <code>TRUE</code> lag the result, i.e. compute
S(t-) instead of S(t).</dd>
<dt>...</dt>
<dd>not used</dd></dl>

Arguments

Thomas Alexander Gerds &lt;tag@biostat.ku.dk&gt;

Author

Compute jackknife pseudo values. — leaveOneOut

<dl>

<dt>object</dt>
<dd>Object of class <code>"prodlim"</code>.</dd>


<dt>times</dt>
<dd>time points at which to compute leave-one-out
event/survival probabilities.</dd>


<dt>cause</dt>
<dd>Character (other classes are converted with <code>as.character</code>).
For competing risks the cause of interest.</dd>


<dt>lag</dt>
<dd>For survival models only. If <code>TRUE</code> lag the result, i.e. compute
S(t-) instead of S(t).</dd>


<dt>...</dt>
<dd>not used</dd>

</dl>

leaveOneOut: Compute jackknife pseudo values.

Description

Usage

Arguments

Author

Details

See Also