gs_spending_combo

Derive spending bound for MaxCombo group sequential boundary

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 

gs_spending_combo function

<dl><dt>par</dt>
<dd>A list with the following items:<ul>
<li><code>sf</code> (class spending function).</li>
<li><code>total_spend</code> (total spend).</li>
<li><code>param</code> (any parameters needed by the spending function <code>sf()</code>).</li>
<li><code>timing</code> (a vector containing values at which spending function
is to be evaluated or <code>NULL</code> if information-based spending is used).</li>
<li><code>max_info</code> (when <code>timing</code> is <code>NULL</code>, this can be input as positive number
to be used with <code>info</code> for information fraction at each analysis).</li>
</ul></dd>
<dt>info</dt>
<dd>Statistical information at all analyses, at least up to analysis k.</dd>
<dt>...</dt>
<dd>Additional parameters passed to <code>par$sf</code>.</dd></dl>

Arguments

Derive spending bound for MaxCombo group sequential boundary — gs_spending_combo

<dl>

<dt>par</dt>
<dd>A list with the following items:<ul>
<li><code>sf</code> (class spending function).</li>
<li><code>total_spend</code> (total spend).</li>
<li><code>param</code> (any parameters needed by the spending function <code>sf()</code>).</li>
<li><code>timing</code> (a vector containing values at which spending function
is to be evaluated or <code>NULL</code> if information-based spending is used).</li>
<li><code>max_info</code> (when <code>timing</code> is <code>NULL</code>, this can be input as positive number
to be used with <code>info</code> for information fraction at each analysis).</li>
</ul></dd>


<dt>info</dt>
<dd>Statistical information at all analyses, at least up to analysis k.</dd>


<dt>...</dt>
<dd>Additional parameters passed to <code>par$sf</code>.</dd>

</dl>

Derive spending bound for MaxCombo group sequential boundary

gs_spending_combo: Derive spending bound for MaxCombo group sequential boundary

Description

Usage

Value

Arguments

Examples