df_case_control

Simulated data with a case-control outcome

datasets

Diagnostic and prognostic models are typically evaluated with
measures of accuracy that do not address clinical consequences.
Decision-analytic techniques allow assessment of clinical outcomes,
but often require collection of additional information may be
cumbersome to apply to models that yield a continuous result. Decision
curve analysis is a method for evaluating and comparing prediction
models that incorporates clinical consequences, requires only the data
set on which the models are tested, and can be applied to models that
have either continuous or dichotomous results. See the following references
for details on the methods: Vickers (2006) <doi:10.1177/0272989X06295361>,
Vickers (2008) <doi:10.1186/1472-6947-8-53>,
and Pfeiffer (2020) <doi:10.1002/bimj.201800240>.

Daniel D. Sjoberg

dcurves

Decision Curve Analysis for Model Evaluation

Emily Vertosick

df_case_control function

A data frame with 750 rows:<dl>
<dt>patientid</dt>
<dd>Identification Number</dd><dt>casecontrol</dt>
<dd>Case-control Status: 1=Case, 0=Control</dd><dt>risk_group</dt>
<dd>Patient Risk Group (Low, Intermediate, High)</dd><dt>age</dt>
<dd>Patient Age, years</dd><dt>famhistory</dt>
<dd>Family History of Cancer: 0=No, 1=Yes</dd><dt>marker</dt>
<dd>Marker</dd><dt>cancerpredmarker</dt>
<dd>Prob. of Cancer based on Age, Family History, and Marker</dd>
</dl>

Format

Simulated data with a case-control outcome — df_case_control

A data frame with 750 rows:<dl>
<dt>patientid</dt>
<dd>Identification Number</dd>

<dt>casecontrol</dt>
<dd>Case-control Status: 1=Case, 0=Control</dd>

<dt>risk_group</dt>
<dd>Patient Risk Group (Low, Intermediate, High)</dd>

<dt>age</dt>
<dd>Patient Age, years</dd>

<dt>famhistory</dt>
<dd>Family History of Cancer: 0=No, 1=Yes</dd>

<dt>marker</dt>
<dd>Marker</dd>

<dt>cancerpredmarker</dt>
<dd>Prob. of Cancer based on Age, Family History, and Marker</dd>


</dl>

df_case_control: Simulated data with a case-control outcome

Description

Usage

Arguments

Format