Journal article
Sieve Estimation for the Proportional-Odds Failure-Time Regression Model with Interval Censoring
Journal of the American Statistical Association, Vol.92(439), pp.960-967
09/01/1997
DOI: 10.1080/01621459.1997.10474050
Abstract
Estimation of the proportional-odds failure-time regression model with interval censoring is considered. Conditions that allow for positive information for the regression parameter are discussed. The efficient score is characterized by a Fredholm equation of the second kind. The sieve maximum likelihood estimator for the finite-dimensional regression parameter is shown to be asymptotically normal with √n convergence rate and to achieve the information bound. Data analysis and simulations assist in clarifying our thoughts regarding the choice of sieve for finite-sample problems.
Details
- Title: Subtitle
- Sieve Estimation for the Proportional-Odds Failure-Time Regression Model with Interval Censoring
- Creators
- Jian Huang - University of IowaA. J. Rossini - University of South Carolina
- Resource Type
- Journal article
- Publication Details
- Journal of the American Statistical Association, Vol.92(439), pp.960-967
- Publisher
- Taylor & Francis Group
- DOI
- 10.1080/01621459.1997.10474050
- ISSN
- 0162-1459
- eISSN
- 1537-274X
- Language
- English
- Date published
- 09/01/1997
- Academic Unit
- Statistics and Actuarial Science
- Record Identifier
- 9984257616902771
Metrics
6 Record Views