Survival probability conditional to the observed data estimation for right censored data.
Csurv(Y, M, censor, t, h = NULL, kernel = "normal")Return a vectors:
positive
P(T<t|Y,censor,M).
negative
P(T>t|Y,censor,M).
The numeric vector of event-times or observed times.
The numeric vector of marker values for which we want to compute the time-dependent ROC curves.
The censoring indicator, 1 if event, 0 otherwise.
A scaler time point at which we want to compute the time-dependent ROC curve.
A scaler for the bandwidth of Beran's weight calculaions. The defualt is using the method of Sheather and Jones (1991).
A character string giving the type kernel to be used: "normal", "epanechnikov", , "tricube", "boxcar", "triangular", or "quartic". The defaults is "normal" kernel density.
Beyene, K. M. and El Ghouch A. (2020). Smoothed time-dependent receiver operating characteristic curve for right censored survival data. Statistics in Medicine. 39: 3373– 3396.
Li, Liang, Bo Hu and Tom Greene (2018). A simple method to estimate the time-dependent receiver operating characteristic curve and the area under the curve with right censored data, Statistical Methods in Medical Research, 27(8): 2264-2278.
Pablo Martínez-Camblor and Gustavo F. Bayón and Sonia Pérez-Fernández (2016). Cumulative/dynamic roc curve estimation, Journal of Statistical Computation and Simulation, 86(17): 3582-3594.