calc_bound

Calculate lower/upper bound of forest plot given upper, lower of data

internal

Statistical methods and related graphical representations for the Desirability of Outcome Ranking (DOOR) methodology. The DOOR is a paradigm for the design, analysis, interpretation of clinical trials and other research studies based on the patient centric benefit risk evaluation. The package provides functions for generating summary statistics from individual level/summary level datasets, conduct DOOR probability-based inference, and visualization of the results. For more details of DOOR methodology, see Hamasaki and Evans (2025) <doi:10.1201/9781003390855>. For more explanation of the statistical methods and the graphics, see the technical document and user manual of the DOOR 'Shiny' apps at <https://methods.bsc.gwu.edu>.

Yijie He

door

Analysis of Clinical Trials with the Desirability of Outcome
Ranking Methodology

Qihang Wu

Toshimitsu Hamasaki

calc_bound function

<dl><dt>lower</dt>
<dd>a numerical vector of lower limits of confidence intervals</dd>
<dt>upper</dt>
<dd>a numerical vector of upper limits of confidene intervals</dd>
<dt>mean</dt>
<dd>a numerical vector of DOOR probability estiamtes</dd></dl>

Arguments

Calculate lower/upper bound of forest plot given upper, lower of data — calc_bound

<dl>

<dt>lower</dt>
<dd>a numerical vector of lower limits of confidence intervals</dd>


<dt>upper</dt>
<dd>a numerical vector of upper limits of confidene intervals</dd>


<dt>mean</dt>
<dd>a numerical vector of DOOR probability estiamtes</dd>

</dl>

calc_bound: Calculate lower/upper bound of forest plot given upper, lower of data

Description

Usage

Value

Arguments