risks

numeric vector of length 1: incidence of the outcome of interest in
 the nonexposed group.

numeric vector of length 1: incidence of the outcome of interest in
 the exposed group.

The function computes relative risk (RR), odds ration (OR), and several
 other risk measures; see details.

univar

Performance measures and scores for statistical classification such as accuracy, sensitivity, specificity, recall, similarity coefficients, AUC, GINI index, Brier score and many more. Calculation of optimal cut-offs and decision stumps (Iba and Langley (1991), <doi:10.1016/B978-1-55860-247-2.50035-8>) for all implemented performance measures. Hosmer-Lemeshow goodness of fit tests (Lemeshow and Hosmer (1982), <doi:10.1093/oxfordjournals.aje.a113284>; Hosmer et al (1997), <doi:10.1002/(SICI)1097-0258(19970515)16:9%3C965::AID-SIM509%3E3.0.CO;2-O>). Statistical and epidemiological risk measures such as relative risk, odds ratio, number needed to treat (Porta (2014), <doi:10.1093%2Facref%2F9780199976720.001.0001>).

Matthias Kohl

MKclass

Statistical Classification

risks function

<dl> <dt>p0</dt>
<dd>numeric vector of length 1: incidence of the outcome of interest in
 the nonexposed group.</dd> <dt>p1</dt>
<dd>numeric vector of length 1: incidence of the outcome of interest in
 the exposed group.</dd></dl>

Arguments

Matthias Kohl <a href="/link/Matthias.Kohl%40stamats.de?package=MKclass&version=0.3" data-mini-rdoc="MKclass::Matthias.Kohl@stamats.de">Matthias.Kohl@stamats.de</a>

Author

Compute RR, OR and Other Risk Measures — risks

<dl>

 <dt>p0</dt>
<dd>numeric vector of length 1: incidence of the outcome of interest in
 the nonexposed group.</dd>

 <dt>p1</dt>
<dd>numeric vector of length 1: incidence of the outcome of interest in
 the exposed group.</dd>

</dl>

Matthias Kohl <a href='mailto:Matthias.Kohl@stamats.de'>Matthias.Kohl@stamats.de</a>

risks: Compute RR, OR and Other Risk Measures

Description

Usage

Value

Arguments

Author

Details

References

Examples