s2pwe

Converts a discrete set of points from an arbitrary survival distribution
to a piecewise exponential approximation.

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

John Blischak

Yihui Xie

Nan Xiao

Jianxiao Yang

Amin Shirazi

Ruixue Wang

Yi Cui

Ping Yang

Xin Tong Li

Chenxiang Li

Hiroaki Fukuda

Hongtao Zhang

Yalin Zhu

Shiyu Zhang

Dickson Wanjau

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

s2pwe function

<dl><dt>times</dt>
<dd>Positive increasing times at which survival distribution is provided.</dd>
<dt>survival</dt>
<dd>Survival (1 - cumulative distribution function) at specified <code>times</code>.</dd></dl>

Arguments

The contents of this section are shown in PDF user manual only.

Specification

Approximate survival distribution with piecewise exponential distribution — s2pwe

<dl>

<dt>times</dt>
<dd>Positive increasing times at which survival distribution is provided.</dd>


<dt>survival</dt>
<dd>Survival (1 - cumulative distribution function) at specified <code>times</code>.</dd>

</dl>

The contents of this section are shown in PDF user manual only.

Approximate survival distribution with piecewise exponential distribution

s2pwe: Approximate survival distribution with piecewise exponential distribution

Description

Usage

Value

Arguments

Specification

Examples