summary.tauFit

This function summarizes the inference results obtained from <code>tau.fit</code>.
The results under random grouping design (complete randomization design) and fixed grouping design (random allocation rule / urn model) would be almost the same with large sample size.

A clinically meaningful measures of treatment effects for right-censored data
are provided, based on the concept of Kendall's tau, along with the corresponding inference procedures.
Two plots of tau processes, with the option to account for the cure fraction or not, are available.
The plots of tau processes serve as useful graphical tools for monitoring the relative performances over time.

Yi-Cheng Tai

tauProcess

Tau Measure with Right-Censored Data

Weijing Wang

Martin T. Wells

summary.tauFit function

<dl><dt>object</dt>
<dd>an object of class "tauFit"</dd>
<dt>conf.int</dt>
<dd>the significance level of the confidence interval</dd>
<dt>...</dt>
<dd>additional arguments passed to underlying summary method</dd></dl>

Arguments

Summarize the Inference Result of Tau Process at Last Specified Time — summary.tauFit

<dl>

<dt>object</dt>
<dd>an object of class "tauFit"</dd>


<dt>conf.int</dt>
<dd>the significance level of the confidence interval</dd>


<dt>...</dt>
<dd>additional arguments passed to underlying summary method</dd>

</dl>

summary.tauFit: Summarize the Inference Result of Tau Process at Last Specified Time

Description

Usage

Value

Arguments

Examples