Abstract
For the setting of interval censoring case 2, a nonparametric two-sample test, based on a smooth functional of the nonparametric maximum pseudolikelihood estimator, is developed to compare the failure functions of two populations. Monte Carlo simulation studies on Weibull distributions show that this test performs quite well in many situations in comparison with the parametric likelihood ratio test. A real dataset from an HIV study is used to illustrate the new test.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 677-686 |
| Number of pages | 10 |
| Journal | Biometrika |
| Volume | 88 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2001 |
| Externally published | Yes |
Keywords
- Asymptotic normality
- Failure function
- Interval censoring
- Likelihood ratio test
- Monte Carlo
- Nonparametric maximum pseudolikelihood estimator
ASJC Scopus subject areas
- Statistics and Probability
- Mathematics(all)
- Agricultural and Biological Sciences (miscellaneous)
- Agricultural and Biological Sciences(all)
- Statistics, Probability and Uncertainty
- Applied Mathematics