- 期刊
- OpenAccess
The Long-Term Bivariate Survival FGM Copula Model: An Application to a Brazilian HIV Data
若您是本文的作者，可授權文章由華藝線上圖書館中協助推廣。
並列摘要
In this paper we propose a new bivariate long-term distribution based on the Farlie-Gumbel-Morgenstern copula model. The proposed model allows for the presence of censored data and covariates in the cure parameter. For inferential purpose a Bayesian approach via Markov Chain Monte Carlo (MCMC) is considered. Further, some discussions on the model selection criteria are given. In order to examine outlying and inuential observations, we develop a Bayesian case deletion inuence diagnostics based on the Kullback-Leibler divergence. The newly developed procedures are illustrated on artificial and real HIV data.
延伸閱讀
- 謝家柔（2015）。A Study of the Bivariate Gamma Distribution and the Corresponding Extended Model〔碩士論文，國立臺北大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0023-1005201615092140
- 賴冠維（2021）。Modified Dynamic Factor Copula Model for Mortality Estimation〔碩士論文，國立清華大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0016-2412202116161585
- Usman, A., & Oshungade, I. O. (2012). A Mixed-Stratified Randomized Response Model for HIV Seroprevalence Surveys. Research Journal of Mathematics and Statistics, 4(3), 70-75. https://www.airitilibrary.com/Article/Detail?DocID=20407505-201208-201506220051-201506220051-70-75
- 孫怡婷（2011）。Joint modeling of longitudinal and survival data─A case study in AIDS data〔碩士論文，國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-1903201314412896
- Bello, G., Soares, M. A., & Schrago, C. G. (2011). The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America. AIDS Research and Treatment, 2011(), 20-32. https://doi.org/10.1155/2011/154945