| dc.identifier.uri | http://hdl.handle.net/1951/55386 | |
| dc.identifier.uri | http://hdl.handle.net/11401/70907 | |
| dc.description.sponsorship | This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree. | en_US |
| dc.format | Monograph | |
| dc.format.medium | Electronic Resource | en_US |
| dc.language.iso | en_US | |
| dc.publisher | The Graduate School, Stony Brook University: Stony Brook, NY. | |
| dc.type | Dissertation | |
| dcterms.abstract | The mixture of two regression regimes has been extensively studied in economics. A switching regression is often used to model a system that changes depending on some variables. The test of a mixture of regimes in hazard modeling would be seen to have fundamental importance in biostatistical research but has not been studied. A two-regime parametric mixture is proposed to model the effect of a single covariate on the event time. Typically, the Cox proportional hazards model is applied to estimate a single regime survival regression function. The mixture of two regimes model contains five parameters to be estimated; namely, two parameters to describe each regime, and one to describe the mixing proportion. A software program developed for this research finds the maximum likelihood estimates of the parameters and the likelihood ratio test of the null hypothesis of a single regime against the alternative of a mixture of two regimes. A simulation study finds an approximation to the null distribution of the test and its approximate power. | |
| dcterms.available | 2012-05-15T18:02:42Z | |
| dcterms.available | 2015-04-24T14:45:04Z | |
| dcterms.contributor | Reich, Nancy C. | en_US |
| dcterms.contributor | Nanct Medell R. Mendell | en_US |
| dcterms.contributor | Wei Zhu | en_US |
| dcterms.contributor | Derek Gordon. | en_US |
| dcterms.creator | Chen, Paichuan | |
| dcterms.dateAccepted | 2012-05-15T18:02:42Z | |
| dcterms.dateAccepted | 2015-04-24T14:45:04Z | |
| dcterms.dateSubmitted | 2012-05-15T18:02:42Z | |
| dcterms.dateSubmitted | 2015-04-24T14:45:04Z | |
| dcterms.description | Department of Applied Mathematics and Statistics | en_US |
| dcterms.format | Monograph | |
| dcterms.format | Application/PDF | en_US |
| dcterms.identifier | http://hdl.handle.net/1951/55386 | |
| dcterms.identifier | Chen_grad.sunysb_0771E_10219.pdf | en_US |
| dcterms.identifier | http://hdl.handle.net/11401/70907 | |
| dcterms.issued | 2010-08-01 | |
| dcterms.language | en_US | |
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Previous issue date: 1 | en |
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Previous issue date: 1 | en |
| dcterms.publisher | The Graduate School, Stony Brook University: Stony Brook, NY. | |
| dcterms.subject | exponential survival analysis, Mixture Survival Analysis, Quandt Ramsey | |
| dcterms.subject | Statistics -- Biology, Biostatistics | |
| dcterms.title | Extending the Quandt-Ramsey Modeling to Survival Analysis | |
| dcterms.type | Dissertation | |
