event_diff

A helper function passed to <code><a href="/link/uniroot()?package=gsDesign2&version=1.1.2" data-mini-rdoc="gsDesign2::uniroot()">uniroot()</a></code>

internal

The goal of 'gsDesign2' is to enable fixed or group sequential
design under non-proportional hazards. To enable highly flexible enrollment,
time-to-event and time-to-dropout assumptions, 'gsDesign2' offers piecewise
constant enrollment, failure rates, and dropout rates for a stratified
population. This package includes three methods for designs:
average hazard ratio, weighted logrank tests in Yung and Liu (2019)
<doi:10.1111/biom.13196>, and MaxCombo tests.
Substantial flexibility on top of what is in the 'gsDesign' package
is intended for selecting boundaries.

Yujie Zhao

gsDesign2

Group Sequential Design with Non-Constant Effect

Keaven Anderson

Yilong Zhang

Jianxiao Yang

Nan Xiao

Amin Shirazi

Ruixue Wang

Yi Cui

Ping Yang

Xin Tong Li

Chenxiang Li

Hiroaki Fukuda

Hongtao Zhang

Yalin Zhu

John Blischak

Dickson Wanjau

Merck & Co., Inc., Rahway, NJ, USA and its affiliates 

event_diff function

<dl><dt>x</dt>
<dd>Duration</dd>
<dt>enroll_rate</dt>
<dd>An <code>enroll_rate</code> data frame with or without stratum
created by <code>define_enroll_rate()</code>.</dd>
<dt>fail_rate</dt>
<dd>A <code>fail_rate</code> data frame with or without stratum
created by <code>define_fail_rate()</code>.</dd>
<dt>ratio</dt>
<dd>Experimental:Control randomization ratio.</dd>
<dt>target_event</dt>
<dd>The targeted number of events to be achieved.</dd></dl>

Arguments

A helper function passed to <code><a href='https://rdrr.io/r/stats/uniroot.html'>uniroot()</a></code>

Considering the enrollment rate, failure rate, and randomization ratio,
calculate the difference between the targeted number of events and the
accumulated events at time x — event_diff

<dl>

<dt>x</dt>
<dd>Duration</dd>


<dt>enroll_rate</dt>
<dd>An <code>enroll_rate</code> data frame with or without stratum
created by <code>define_enroll_rate()</code>.</dd>


<dt>fail_rate</dt>
<dd>A <code>fail_rate</code> data frame with or without stratum
created by <code>define_fail_rate()</code>.</dd>


<dt>ratio</dt>
<dd>Experimental:Control randomization ratio.</dd>


<dt>target_event</dt>
<dd>The targeted number of events to be achieved.</dd>

</dl>

Considering the enrollment rate, failure rate, and randomization ratio,
calculate the difference between the targeted number of events and the
accumulated events at time <code>x</code>

event_diff: Considering the enrollment rate, failure rate, and randomization ratio, calculate the difference between the targeted number of events and the accumulated events at time `x`

Description

Usage

Value

Arguments