tau_proc

Estimate the Tau Process with/without cure fraction

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

tau_proc function

<dl><dt>data</dt>
<dd>a data.frame consisting of <code>arm</code>, <code>surv.time</code>, <code>event</code>.</dd>
<dt>t</dt>
<dd>a sequence of specified times. If the user do not specify the sequence, the default is an equally-spaced sequence from 0 to the last identified time.</dd>
<dt>cure</dt>
<dd>a boolean variable indicating whether to consider the cure fractions.</dd></dl>

Arguments

Estimate the Tau Process with/without cure fraction — tau_proc

<dl>

<dt>data</dt>
<dd>a data.frame consisting of <code>arm</code>, <code>surv.time</code>, <code>event</code>.</dd>


<dt>t</dt>
<dd>a sequence of specified times. If the user do not specify the sequence, the default is an equally-spaced sequence from 0 to the last identified time.</dd>


<dt>cure</dt>
<dd>a boolean variable indicating whether to consider the cure fractions.</dd>

</dl>

`t`	the specified sequence of time points

`vals_tau_proc`	the estimated value of tau measure at given time

`cure`	a boolean variable indicating whether to consider the cure fraction

`cure_rates`	the estimated cure rates for Group 0 and Group 1, respectively

tau_proc: Estimate the Tau Process with/without cure fraction

Description

Usage

Value

Arguments

Details

Examples