Statistical Inference of a Bivariate Proportional Hazard Model with Grouped Data
This paper studies the estimation of a semiparametric bivariate proportional hazard model from event time data under interval censoring. As a direct generalization of the bivariate exponential distribution of Marshall and Olkin, the model, on the one hand, controls for the effects of observed covariates, and on the other, achieves great flexibility through nonparametrically specified baseline hazards. The model is most relevant in analyzing the joint distribution of two event times arising from "systems of two components". Examples include the two infection times of the left and the right kidneys of patients and the two retirement times of married couples. To estimate this semiparametric model from grouped data, we propose a maximum likelihood estimator and a minimum chi-square estimator. Both estimation methods exploit the fact that the most flexible model structure that can be identified with grouped data is finite-dimensional. Compared with the maximum likelihood estimation, the minimum chi-square procedure is computationally more attractive but applies only to "many observations per cell" cases where the covariates are either categorical or amendable to sensible grouping. Specification tests for different model assumptions are also discussed.
(This abstract was borrowed from another version of this item.)
|Date of creation:||17 Nov 1996|
|Date of revision:|
|Note:||Type of Document - laTex; prepared on UNIX Sparc TeX; to print on PostScript; pages: 22 ; figures: request from author. We never published this piece and now we would like to reduce our mailing and xerox cost by posting it.|
|Contact details of provider:|| Web page: http://econwpa.repec.org|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Mark Yuying An, 1996.
"Semiparametric Estimation of Willingness to Pay Distributions,"
- An, Mark Yuying, 1996. "Semiparametric Estimation of Willingness to Pay Distributions," Working Papers 96-20, Duke University, Department of Economics.
- Mark Yuying An & Roberto Ayala, 1996.
"Nonparametric Estimation of a Survivor Function with Across- Interval-Censored Data,"
- An, Mark Yuying & Ayala, Roberto A., 1996. "Nonparametric Estimation of a Survivor Function with Across-Interval-Censored Data," Working Papers 96-02, Duke University, Department of Economics.
When requesting a correction, please mention this item's handle: RePEc:wpa:wuwpem:9611005. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (EconWPA)
If references are entirely missing, you can add them using this form.