fitSemiParamModel

Fit the data using a semi-parametric model to explore
the nonlinear dose-response relationship between the
independent variable and lnOR

Enables the computation of the 'two cut-points with maximum odds ratio (OR)
value method' for data analysis, particularly suited for binary classification
tasks. Users can identify optimal cut-points in a continuous variable by
maximizing the odds ratio while maintaining an equal risk level, useful for
tasks such as medical diagnostics, risk assessment, or predictive modeling.

Shuo Yang

TCPMOR

Two Cut-Points with Maximum Odds Ratio

Xianying He

Yi Fei

Jinxin Zhang

fitSemiParamModel function

<dl><dt>dataC</dt>
<dd>Data frame containing age and binary outcome variables</dd></dl>

Arguments

Fit the data using a semi-parametric model to explore
the nonlinear dose-response relationship between the
independent variable and lnOR — fitSemiParamModel

<dl>

<dt>dataC</dt>
<dd>Data frame containing age and binary outcome variables</dd>

</dl>

fitSemiParamModel: Fit the data using a semi-parametric model to explore the nonlinear dose-response relationship between the independent variable and lnOR

Description

Usage

Value

Arguments

Examples