get_sample

Samples data for a prediction model with a specified AUC and prevalence.

Estimates when and where a model-guided treatment strategy may
outperform a treat-all or treat-none approach by Monte Carlo simulation and
evaluation of the Net Monetary Benefit. Details can be viewed in
Parsons et al. (2023) <doi:10.21105/joss.05328>.

Rex Parsons

predictNMB

Evaluate Clinical Prediction Models by Net Monetary Benefit

Robin Blythe

Adrian Barnett

Emi Tanaka

Tinula Kariyawasam

Susanna Cramb

Steven McPhail

get_sample function

<dl><dt>auc</dt>
<dd>The Area Under the (receiver operating characteristic) Curve.</dd>
<dt>n_samples</dt>
<dd>Number of samples to draw.</dd>
<dt>prevalence</dt>
<dd>Prevalence or event rate of the binary outcome as
a proportion (0.1 = 10%).</dd>
<dt>min_events</dt>
<dd>Minimum number of events required in the sample.</dd></dl>

Arguments

Samples data for a prediction model with a specified AUC and prevalence. — get_sample

<dl>

<dt>auc</dt>
<dd>The Area Under the (receiver operating characteristic) Curve.</dd>


<dt>n_samples</dt>
<dd>Number of samples to draw.</dd>


<dt>prevalence</dt>
<dd>Prevalence or event rate of the binary outcome as
a proportion (0.1 = 10%).</dd>


<dt>min_events</dt>
<dd>Minimum number of events required in the sample.</dd>

</dl>

get_sample: Samples data for a prediction model with a specified AUC and prevalence.

Description

Usage

Value

Arguments

Examples