研究生: |
康嘉玲 Jia-Ling Kang |
---|---|
論文名稱: |
加法風險模式在變數資料遺失下之回歸校正法 Regression Calibration in Additive Risk Model with Missing Covariates |
指導教授: |
張德新
Der-Shin Chang |
口試委員: | |
學位類別: |
碩士 Master |
系所名稱: |
理學院 - 統計學研究所 Institute of Statistics |
論文出版年: | 2003 |
畢業學年度: | 91 |
語文別: | 英文 |
論文頁數: | 23 |
中文關鍵詞: | 回歸校正法 、加法風險模式 、變數資料遺失 |
外文關鍵詞: | Regression Calibration, Additive Risk Model, Missing Covariates |
相關次數: | 點閱:2 下載:0 |
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在倖存分析,乘法模式一向被大家接受與廣泛的使用,然而因為繼起的加法模式在許多應用上比乘法模式來的合適,加法模式也越來越受到大家的注目。變數資料遺失是一個蒐集資料時常面臨的情況,如何在變數遺失且資料為右設限下討論回歸參數的一般估計量和它的漸近性質成為一急需解決的問題,在乘法模式下已有大批文獻探討,在加法模式下則尚未有一個很好的解決方法,有鑑於此,我們模仿王清雲等在1997年提出的回歸校正法,冀其在加法模式之下也有很好的表現。我們也將討論其漸近性質,並提供模擬結果以供參考。
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