partial_credit_contour_plot

The contour plot is for sensitivity analysis. Currently it supports given DOOR
outcome categories of three or four. The contour plot assigns every combinations
of grade keys given a DOOR outcome distribution

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

partial_credit_contour_plot function

<dl><dt>y1, y2</dt>
<dd>Numeric vectors of DOOR proportion or frequency distribution for group 1, group 2.
The entries should be ordered from most desirable to least desirable</dd>
<dt>n1, n2</dt>
<dd>Sample sizes of group 1, group 2; must be specified if method = "prop"</dd>
<dt>summary_obj</dt>
<dd>An object returned by <code>individual_to_summary()</code>; Alternative
input for y1 and y2</dd>
<dt>data_type</dt>
<dd>Either "freq" for frequency input or "prop" for proportion input
when using y1 and y2</dd>
<dt>pc_inc</dt>
<dd>Increment of partial credits</dd>
<dt>contour_inc</dt>
<dd>Increment of contour lines</dd></dl>

Arguments

Generate contour plot for partial credit analysis — partial_credit_contour_plot

<dl>

<dt>y1, y2</dt>
<dd>Numeric vectors of DOOR proportion or frequency distribution for group 1, group 2.
The entries should be ordered from most desirable to least desirable</dd>


<dt>n1, n2</dt>
<dd>Sample sizes of group 1, group 2; must be specified if method = "prop"</dd>


<dt>summary_obj</dt>
<dd>An object returned by <code>individual_to_summary()</code>; Alternative
input for y1 and y2</dd>


<dt>data_type</dt>
<dd>Either "freq" for frequency input or "prop" for proportion input
when using y1 and y2</dd>


<dt>pc_inc</dt>
<dd>Increment of partial credits</dd>


<dt>contour_inc</dt>
<dd>Increment of contour lines</dd>

</dl>

partial_credit_contour_plot: Generate contour plot for partial credit analysis

Description

Usage

Value

Arguments

Examples