prostate

The <code>prostate</code> dataset was obtained from a study carried in Le (2006). This study was conducted to evaluate the clinical usefulness of the level of acid phosphatase in blood serum (APBS) x 100 to predict whether
nodal involvement is present.

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

prostate function

A data frame with 53 observations on the following 2 variables.<dl>
 <dt><code>marker</code></dt>
<dd>level of acid phosphatase in blood serum. Numeric vector</dd> <dt><code>status</code></dt>
<dd>true disease status (absence/presence of nodal involvement). Numerical vector (0=absence, 1=presence)</dd> 
</dl>

Format

Prostate cancer dataset — prostate

A data frame with 53 observations on the following 2 variables.<dl>
 <dt><code>marker</code></dt>
<dd>level of acid phosphatase in blood serum. Numeric vector</dd>

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

 
</dl>

prostate: Prostate cancer dataset

Description

Usage

Arguments

Format

References

Examples