Csurv | R Documentation |
Survival probability conditional to the observed data estimation for right censored data.
Csurv(Y, M, censor, t, h = NULL, kernel = "normal")
Y |
The numeric vector of event-times or observed times. |
M |
The numeric vector of marker values for which we want to compute the time-dependent ROC curves. |
censor |
The censoring indicator, |
t |
A scaler time point at which we want to compute the time-dependent ROC curve. |
h |
A scaler for the bandwidth of Beran's weight calculaions. The defualt is using the method of Sheather and Jones (1991). |
kernel |
A character string giving the type kernel to be used: " |
Return a vectors:
positive
P(T<t|Y,censor,M)
.
negative
P(T>t|Y,censor,M)
.
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.
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