SimData


Survival data simulated from a Cox proportional hazards model with 20% censoring. 


datasets

This package provides a function to estimate the AUC, TPR(c),
FPR(c), PPV(c), and NPV(c) for for a specific timepoint and marker cutoff
value c using non-parametric and semi-parametric estimators. Standard errors
and confidence intervals are also computed. Either analytic or bootstrap
standard errors can be computed.

Marshall Brown

survAccuracyMeasures

Estimate accuracy measures for risk prediction markers from
survival data

SimData function

A data frame with 500 observations on the following 3 variables.
  <dl>
    <dt><code>survTime</code></dt><dd>a numeric vector of survival time</dd> <dt><code>status</code></dt><dd>a numeric vector indicating event status, status = 1 for failure, while status = 0 for censored observations</dd> <dt><code>Y</code></dt><dd>a numeric vector of values for marker</dd> </dl> 

SimData: Simulated data for package 'SurvAccuracyMeasures'

Description

Usage

Arguments

Format

Examples