plot.trSurvfit

Plot the survival estimation for an <code>trSurvfit</code>/<code>trReg</code> object.

plot

A latent, quasi-independent truncation time is assumed to be linked with the observed dependent truncation time, the event time, and an unknown transformation parameter via a structural transformation model. The transformation parameter is chosen to minimize the conditional Kendall's tau (Martin and Betensky, 2005) <doi:10.1198/016214504000001538> or the regression coefficient estimates (Jones and Crowley, 1992) <doi:10.2307/2336782>. The marginal distribution for the truncation time and the event time are completely left unspecified. The methodology is applied to survival curve estimation and regression analysis.

Sy Han (Steven) Chiou

tranSurv

Transformation-Based Regression under Dependent Truncation

Jing Qian

plot.trSurvfit function

<dl><dt>x</dt>
<dd>an object of class <code>trSurvfit</code> returned by the <code>trSurvfit()</code> or the <code>trReg()</code> function.</dd>
<dt>...</dt>
<dd>graphical parameters to be passed to methods.</dd></dl>

Arguments

Plot the survival estimation based on the structural transformation model — plot.trSurvfit

<dl>

<dt>x</dt>
<dd>an object of class <code>trSurvfit</code> returned by the <code>trSurvfit()</code> or the <code>trReg()</code> function.</dd>


<dt>...</dt>
<dd>graphical parameters to be passed to methods.</dd>

</dl>

plot.trSurvfit: Plot the survival estimation based on the structural transformation model

Description

Usage

Value

Arguments

Examples