prostate: Prostate cancer dataset

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

Prostate cancer dataset

Description

The prostate 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.

Usage

data(prostate)

Format

A data frame with 53 observations on the following 2 variables.

marker

level of acid phosphatase in blood serum. Numeric vector

status

true disease status (absence/presence of nodal involvement). Numerical vector (0=absence, 1=presence)

Source

Le, C.T. (2006). A solution for the most basic optimization problem associated with an ROC curve. Statistical Methods in Medical Research 15, 571–584.

References

Le, C.T. (2006). A solution for the most basic optimization problem associated with an ROC curve. Statistical Methods in Medical Research 15, 571–584.

Examples

data(prostate)
summary(prostate)

GsymPoint documentation built on Nov. 2, 2023, 5:59 p.m.