generate_forestp

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

generate_forestp function

<dl><dt>data</dt>
<dd>a data frame for numerical values of the forest plot</dd>
<dt>text</dt>
<dd>a data frame for the text part of the forest plot</dd>
<dt>xlab</dt>
<dd>a character string of x-axis label</dd>
<dt>issum</dt>
<dd>a logical vector indicating the summary row</dd>
<dt>xticks</dt>
<dd>a vector specifying the x-axis tick marks</dd>
<dt>line_height</dt>
<dd>a numeric value specifying the space between the rows</dd></dl>

Arguments

Forest plot render — generate_forestp

<dl>

<dt>data</dt>
<dd>a data frame for numerical values of the forest plot</dd>


<dt>text</dt>
<dd>a data frame for the text part of the forest plot</dd>


<dt>xlab</dt>
<dd>a character string of x-axis label</dd>


<dt>issum</dt>
<dd>a logical vector indicating the summary row</dd>


<dt>xticks</dt>
<dd>a vector specifying the x-axis tick marks</dd>


<dt>line_height</dt>
<dd>a numeric value specifying the space between the rows</dd>

</dl>

generate_forestp: Forest plot render

Description

Usage

Value

Arguments