rbmi_pool

Pool analysis results obtained from the imputed datasets

Structure and formatting requirements for clinical trial table and listing outputs
vary between pharmaceutical companies. 'junco' provides additional tooling for use alongside
the 'rtables', 'rlistings' and 'tern' packages when creating table and listing outputs. While
motivated by the specifics of Johnson and Johnson Clinical and Statistical Programming's
table and listing shells, 'junco' provides functionality that is general and reusable.
Major features include a) alternative and extended statistical analyses beyond what 'tern'
supports for use in standard safety and efficacy tables, b) a robust production-grade
Rich Text Format (RTF) exporter for both tables and listings, c) structural support
for spanning column headers and risk difference columns in tables, and d) robust
font-aware automatic column width algorithms for both listings and tables.

Gabriel Becker

junco

Create Common Tables and Listings Used in Clinical Trials

rbmi_pool function

<dl><dt>results</dt>
<dd>an analysis object created by analyse().</dd>
<dt>conf.level</dt>
<dd>confidence level of the returned confidence interval.
Must be a single number between 0 and 1. Default is 0.95.</dd>
<dt>alternative</dt>
<dd>a character string specifying the alternative hypothesis,
must be one of <code>"two.sided"</code> (default), <code>"greater"</code> or <code>"less"</code>.</dd>
<dt>type</dt>
<dd>a character string of either <code>"percentile"</code> (default) or
<code>"normal"</code>. Determines what method should be used to calculate the bootstrap
confidence intervals. See details.
Only used if <code>method_condmean(type = "bootstrap")</code> was specified
in the original call to draws().</dd></dl>

Arguments

Pool analysis results obtained from the imputed datasets — rbmi_pool

<dl>

<dt>results</dt>
<dd>an analysis object created by analyse().</dd>


<dt>conf.level</dt>
<dd>confidence level of the returned confidence interval.
Must be a single number between 0 and 1. Default is 0.95.</dd>


<dt>alternative</dt>
<dd>a character string specifying the alternative hypothesis,
must be one of <code>"two.sided"</code> (default), <code>"greater"</code> or <code>"less"</code>.</dd>


<dt>type</dt>
<dd>a character string of either <code>"percentile"</code> (default) or
<code>"normal"</code>. Determines what method should be used to calculate the bootstrap
confidence intervals. See details.
Only used if <code>method_condmean(type = "bootstrap")</code> was specified
in the original call to draws().</dd>

</dl>

rbmi_pool: Pool analysis results obtained from the imputed datasets

Description

Usage

Value

Arguments

Details