Abstract
ROC curve is a fundamental evaluation tool in medical researches and survival analysis. The estimation of ROC curve has been studied extensively with complete data and right-censored survival data. However, these methods are not suitable to analyze the length-biased and right-censored data. Since this kind of data includes the auxiliary information that truncation time and residual time share the same distribution, the two new estimators for the ROC curve are proposed by taking into account this auxiliary information to improve estimation efficiency. Numerical simulation studies with different assumed cases and real data analysis are conducted.
| Original language | English |
|---|---|
| Pages (from-to) | 4648-4668 |
| Number of pages | 21 |
| Journal | Communications in Statistics - Theory and Methods |
| Volume | 49 |
| Issue number | 19 |
| DOIs | |
| State | Published - 1 Oct 2020 |
Keywords
- ROC curve
- composite likelihood
- conditional likelihood
- length-biased and right-censored data
- nonparametric estimator