Description Usage Arguments Value References Examples
A method to compute the receiver operating characteristic (ROC) curve for the interval censored survival data based on a spline function based constrained maximum likelihood estimator. The maximization process of likelihood is carried out by generalized gradient projection method.
1 | intcensROC(U, V, Marker, Delta, PredictTime, gridNumber = 500)
|
U |
An array contains left end time points of the observation time range for the interval censored data. |
V |
An array contains right end time points of the observation time range for the interval censored data. |
Marker |
An array contains marker levels for the samples. |
Delta |
An array of indicator for the censored type, use 1, 2, 3 for event happened before the left bound time, within the defined time range, and after. |
PredictTime |
A scalar indicates the predict time. |
gridNumber |
A integer for the number of gird for the ROC curve, the default value is 500. |
A dataframe
with two columes
tp |
A array for true positive rate for different marker levels in the range of 0 to 1. |
fp |
A array for false positive rate for different marker levels in the range of 0 to 1. |
Wu, Yuan; Zhang, Ying. Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data. Ann. Statist. 40, 2012, 1609-1636 <doi:10.1214/12-AOS1016>
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