Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/125121
DC Field | Value | Language |
---|---|---|
dc.contributor | 統計系 | |
dc.creator | 黃佳慧 | |
dc.creator | Huang, C.-H. | |
dc.creator | Chen, Y.-H. | |
dc.date | 2017-01 | |
dc.date.accessioned | 2019-08-13T01:18:07Z | - |
dc.date.available | 2019-08-13T01:18:07Z | - |
dc.date.issued | 2019-08-13T01:18:07Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/125121 | - |
dc.description.abstract | We consider ordered bivariate gap time while data on the first gap time are unobservable. This study is motivated by the HIV infection and AIDS study, where the initial HIV contracting time is unavailable, but the diagnosis times for HIV and AIDS are available. We are interested in studying the risk factors for the gap time between initial HIV contraction and HIV diagnosis, and gap time between HIV and AIDS diagnoses. Besides, the association between the two gap times is also of interest. Accordingly, in the data analysis we are faced with two-fold complexity, namely data on the first gap time is completely missing, and the second gap time is subject to induced informative censoring due to dependence between the two gap times. We propose a modeling framework for regression analysis of bivariate gap time under the complexity of the data. The estimating equations for the covariate effects on, as well as the association between, the two gap times are derived through maximum likelihood and suitable counting processes. Large sample properties of the resulting estimators are developed by martingale theory. Simulations are performed to examine the performance of the proposed analysis procedure. An application of data from the HIV and AIDS study mentioned above is reported for illustration. | |
dc.format.extent | 737939 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.relation | Lifetime Data Analysis, Vol.23, pp.83-101 | |
dc.subject | Bivariate duration ; time Counting ; process Dependent ; censoring Ordered data | |
dc.title | Regression analysis for bivariate gap time with missing first gap time data | |
dc.type | article | |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
Appears in Collections: | 期刊論文 |
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.