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cenROC (version 1.2.0)

Estimation of the Time-Dependent ROC Curve and AUC for Censored Survival Data

Description

Contains functions to estimate a smoothed and a non-smoothed (empirical) time-dependent ROC curve (receiver operating characteristic curve) and the corresponding area under the ROC curve (AUC) and the optimal cutoff point for the right and interval censored survival data, as described in Beyene and El Ghouch (2019).

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Version

Install

install.packages('cenROC')

Monthly Downloads

228

Version

1.2.0

License

GPL (>= 2)

Maintainer

Kassu Beyene

Last Published

May 8th, 2020

Functions in cenROC (1.2.0)

NASA Hypobaric Decompression Sickness Marker Data

Estimation of the time-dependent ROC curve for right censored survival data

Computes optimal cutoff point using the Youden index criteria

Mayo Marker Data

Weighted variance estimation

Kernel distribution function

Function to evaluate the matrix of data vector minus the grid points divided by the bandwidth value.

Numerical Integral function using Simpson's rule

Distribution function without the ith observation

Function to select the bandwidth parameter needed for smoothing the time-dependent ROC curve.

The value of squared integral x^2 k(x) dx and integral x k(x) K(x) dx

Weighted inter-quartile range estimation

Weighted quartile estimation

The normal reference bandwidth selection for weighted data

The plug-in bandwidth selection for weighted data

The cross-validation bandwidth selection for weighted data

Time-dependent ROC curve estimation for interval-censored survival data

Survival probability conditional to the observed data estimation for right censored data.

Compute the conditional survival function for Interval Censored Survival Data

Derivative of normal distribution

Survival probability conditional on the observed data estimation for interval censored data

ROC estimation function