Abstract
This article introduces a new approach for estimating the hazard function for possibly interval- and right-censored survival data. We weakly parameterize the log-hazard function with a piecewise-linear spline and provide a smoothed estimate of the hazard function by maximizing the penalized likelihood through a mixed model-based approach. We also provide a method to estimate the amount of smoothing from the data. We illustrate our approach with two well-known interval- censored data sets. Extensive numerical studies are conducted to evaluate the efficacy of the new procedure.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 570-579 |
| Number of pages | 10 |
| Journal | Biometrics |
| Volume | 59 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 2003 |
Keywords
- Mixed model
- Proportional hazards
- Restricted maximum likelihood
ASJC Scopus subject areas
- Statistics and Probability
- Biochemistry, Genetics and Molecular Biology(all)
- Immunology and Microbiology(all)
- Agricultural and Biological Sciences(all)
- Applied Mathematics