melanoma

The <code>melanoma</code> dataset was obtained from Venkatram and Begg (1996). This study was conducted to assess the clinical usefulness of a clinical scoring scheme without dermoscope (CSS) used by dermatologists in order to determine if a suspicious pigmented lesion on the skin is a melanoma.

datasets

Estimation of the cutpoint defined by the Generalized Symmetry point in a binary classification setting based on a continuous diagnostic test or marker. Two methods have been implemented to construct confidence intervals for this optimal cutpoint, one based on the Generalized Pivotal Quantity and the other based on Empirical Likelihood. Numerical and graphical outputs for these two methods are easily obtained.

Mnica LpezRatn

GsymPoint

Estimation of the Generalized Symmetry Point, an Optimal
Cutpoint in Continuous Diagnostic Tests

Mónica López-Ratón

Carmen Cadarso-Suárez

Elisa M. Molanes-López

Emilio Letón

melanoma function

A data frame with 72 observations on the following 2 variables.<dl>
 <dt><code>X</code></dt>
<dd>clinical scoring scheme without dermoscope. Numerical vector.</dd> <dt><code>group</code></dt>
<dd>true disease status (absence/presence of melanoma). Numerical vector (0=absence, 1=presence)</dd> 
</dl>

Format

Melanoma dataset — melanoma

A data frame with 72 observations on the following 2 variables.<dl>
 <dt><code>X</code></dt>
<dd>clinical scoring scheme without dermoscope. Numerical vector.</dd>

 <dt><code>group</code></dt>
<dd>true disease status (absence/presence of melanoma). Numerical vector (0=absence, 1=presence)</dd>

 
</dl>

melanoma: Melanoma dataset

Description

Usage

Arguments

Format

References

Examples