trSurv.control

Auxiliary function as user interface for <code>trSurvfit</code> fitting.

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

trSurv.control function

<dl><dt>interval</dt>
<dd>a vector containing the end-points of the interval to be searched the transformation parameter.</dd>
<dt>lower</dt>
<dd>the lower end-point of the interval to be searched.</dd>
<dt>upper</dt>
<dd>the upper end-point of the interval to be searched.</dd></dl>

Arguments

Auxiliary for Controlling trSurvfit Fitting — trSurv.control

<dl>

<dt>interval</dt>
<dd>a vector containing the end-points of the interval to be searched the transformation parameter.</dd>


<dt>lower</dt>
<dd>the lower end-point of the interval to be searched.</dd>


<dt>upper</dt>
<dd>the upper end-point of the interval to be searched.</dd>

</dl>

trSurv.control: Auxiliary for Controlling trSurvfit Fitting

Description

Usage

Value

Arguments

See Also