淡江大學機構典藏:Item 987654321/6327
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    Title: 不完全病例對照資料下羅吉斯迴歸模型的統計分析
    Other Titles: Inferences for Logistic Regression Model Based on Incomplete Case-Control Data.
    Authors: 陳麗菁
    Contributors: 淡江大學統計學系
    Keywords: 羅吉斯迴歸;病例對照研究;錯誤分類;測量誤差;遺失值;半參數最大概似估計量;適合度檢定
    Date: 2009-05-15
    Issue Date: 2009-03-16 13:56:12 (UTC+8)
    Abstract: 在流行病學領域中,羅吉斯迴歸模式經常用來推論風險因子與反應變數的關係。針對稀有疾病,常考慮病例對照研究以改善抽樣效率。有賴統計軟體的方便,羅吉斯迴歸模式很容易被執行也因此被大量地使用。但這些使用有一個很重要的前提是必須有完全的病例對照資料。在這兩年的研究計畫中,我們擬兩種重要但仍未被充分瞭解的問題: 1. 不完全病例對照資料下羅吉斯迴歸係數的推論。(第一年) 2. 不完全病例對照資料下羅吉斯迴歸模式的適合度檢定。(第二年)
    Appears in Collections:[Graduate Institute & Department of Statistics] Research Paper

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