print.internal_validate

Conduct internal validation of a clinical prediction model for a binary outcome.
Produce bias corrected performance metrics (c-statistic, Brier score, calibration intercept/slope)
via bootstrap (simple bootstrap, bootstrap optimism, .632 optimism) and cross-validation (CV optimism,
CV average). Also includes functions to assess model stability via bootstrap resampling.
See Steyerberg et al. (2001) <doi:10.1016/s0895-4356(01)00341-9>;
Harrell (2015) <doi:10.1007/978-3-319-19425-7>;
Riley and Collins (2023) <doi:10.1002/bimj.202200302>.

Stephen Rhodes

pminternal

Internal Validation of Clinical Prediction Models

print.internal_validate function

<dl><dt>x</dt>
<dd>a <code>internal_validate</code> object</dd>
<dt>digits</dt>
<dd>number of digits to print</dd>
<dt>...</dt>
<dd>optional arguments passed to print</dd></dl>

Arguments

print a internal_validate object — print.internal_validate

<dl>

<dt>x</dt>
<dd>a <code>internal_validate</code> object</dd>


<dt>digits</dt>
<dd>number of digits to print</dd>


<dt>...</dt>
<dd>optional arguments passed to print</dd>

</dl>

print.internal_validate: print a internal_validate object

Description

Usage

Value

Arguments