ICsur: Survival probability conditional on the observed data...

In cenROC: Estimating Time-Dependent ROC Curve and AUC for Censored Data

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

Description

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

Usage

ICsur(L, R, M, t, method, dist)

Arguments

L	The numericvector of left limit of observed time. For left censored observations L == 0.
R	The numericvector of right limit of observed time. For right censored observation R == inf.
M	The numeric vector of marker value.
t	A scaler time point used to calculate the the ROC curve
method	A character indication type of modeling. This include nonparametric "np",parmetric "pa" and semiparametric "sp".
dist	A character incating the type of distribution for parametric model. This includes are "exponential", "weibull", "gamma", "lnorm", "loglogistic" and "generalgamma".

Value

Return a vectors:

positive P(T<t|L,R,M).

negative P(T>t|L,R,M).

References

Beyene, K. M. and El Ghouch A. (2022). Time-dependent ROC curve estimation for interval-censored data. Biometrical Journal, 64, 1056– 1074.

cenROC documentation built on March 31, 2023, 5:19 p.m.