標題: Copula模式之下 雙變元存活資料之統計推論
Statistical Inference for Bivariate Survival Data Based on
作者: 花文妤
Wen-Yu Hua
王維菁
Weijing Wang
統計學研究所
關鍵字: 雙變元存活資料;Cox 比例風險模式;相關存活時間;Clayton模式;Copula模式;半母數推論;二階段估計式;2 2 表格;Bivariate survival data;;Cox proportional hazard model;Correlated failure times;Clayton model;Copula model;Semi-parametric inference;Two-stage estimation;Two-by-two tables.
公開日期: 2006
摘要: 本論文主要是考慮在Copula模式之下,雙變元存活資料受限於右設限之半母數推論.目前存在許多估計相關性參數之半母數推論方法.我們比較三種推論方法針對不存在解釋變數之同質性資料.並利用迴歸的概念將現有的方法延伸至處理邊際異質的資料.最後,藉由模擬結果檢視上述方法之有限樣本的表現.
The thesis considers semi-parametric inference based on Copula models for bivariate survival data subject to right censoring. There exist several semi-parametric inference approaches to estimating the association parameter. We examine and compare three approaches developed for homogeneous data in absence of covariates. Then we extend these methods to a regression setting that accounts for marginal heterogeneity explained by the covariates. Finite-sample performances are examined by simulations.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT009426518
http://hdl.handle.net/11536/81459
Appears in Collections:Thesis


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