example.data

A dataset containing the ordinal outcomes and corresponding groups.

datasets

The proposed group-sequential trial design is based on Bayesian methods for ordinal endpoints,
including three methods, the proportional-odds-model (PO)-based, non-proportional-odds-model (NPO)-based,
and PO/NPO switch-model-based designs, which makes our proposed methods generic to be able to deal with
various scenarios.
Richard J. Barker, William A. Link (2013) <doi:10.1080/00031305.2013.791644>.
Thomas A. Murray, Ying Yuan, Peter F. Thall, Joan H. Elizondo, Wayne L.Hofstetter (2018) <doi:10.1111/biom.12842>.
Chengxue Zhong, Haitao Pan, Hongyu Miao (2021) <arXiv:2108.06568>.

Chengxue Zhong

BayesOrdDesign

Bayesian Group Sequential Design for Ordinal Data

Haitao Pan

Hongyu Miao

example.data function

A data frame with 200 rows and 2 variables:<dl>
 <dt>response</dt>
<dd>outcome</dd> <dt>treatment</dt>
<dd>0 denotes control, 1 denotes treatment</dd> ...</dl>

Format

Clinical ordinal endpoints and treatments assignment for 200 patient — example.data

A data frame with 200 rows and 2 variables:<dl>
 <dt>response</dt>
<dd>outcome</dd>

 <dt>treatment</dt>
<dd>0 denotes control, 1 denotes treatment</dd>

 ...

</dl>

example.data: Clinical ordinal endpoints and treatments assignment for 200 patient

Description

Usage

Arguments

Format