print.simaerep

internal

Monitoring reporting rates of subject-level clinical events (e.g.
adverse events, protocol deviations) reported by clinical trial sites is an
important aspect of risk-based quality monitoring strategy. Sites that are
under-reporting or over-reporting events can be detected using bootstrap
simulations during which patients are redistributed between sites. Site-specific
distributions of event reporting rates are generated that are used to assign
probabilities to the observed reporting rates.
(Koneswarakantha 2024 <doi:10.1007/s43441-024-00631-8>).

Bjoern Koneswarakantha

simaerep

Detect Clinical Trial Sites Over- or Under-Reporting Clinical
Events

F. Hoffmann-La Roche Ltd 

print.simaerep function

<dl><dt>x</dt>
<dd>An object of class 'simaerep'</dd>
<dt>...</dt>
<dd>Additional arguments passed to print (not used)</dd>
<dt>n</dt>
<dd>Number of rows to display from df_eval (default: 5)</dd></dl>

Arguments

Print method for simaerep objects — print.simaerep

<dl>

<dt>x</dt>
<dd>An object of class 'simaerep'</dd>


<dt>...</dt>
<dd>Additional arguments passed to print (not used)</dd>


<dt>n</dt>
<dd>Number of rows to display from df_eval (default: 5)</dd>

</dl>

print.simaerep: Print method for simaerep objects

Description

Usage

Arguments