臺灣博碩士論文加值系統

有序資料是醫學及流行病學研究中常會碰到的資料型態。如疾病的嚴重程度、藥劑量、疼痛的程度…等。對有序的資料型態，一般常用比例勝算模型來描述反應變數和解釋變數間的相關性。
一般來說有序資料的分析較二元化資料的分析來的複雜。因此，二元化資料的分析，目前來說不論是利用有母數方法（如羅吉斯迴歸模型）或半母數方法（如,GEE）都比有序資料的分析方法較為完備。
有關有序資料的分析，一個簡單的方式便是將問題化簡為二元化資料。因此，問題變成二元資料的問題。所以，可做多個羅吉斯迴歸模型分析，來估計比例勝算模型中的迴歸係數。

目錄
第一章 緒論…………………………………………………………1
第二章 模型及資料分析方法介紹……………………………………3
2.1 模型簡介………………………………………………………3
2.1.1 羅吉斯迴歸模型…………………………………………3
2.1.2 比例勝算模型……………………………………………10
2.1.3 廣義交叉比模型…………………………………………16
2.1.4 狄利克雷多項模型………………………………………23
2.2 資料分析方法………………………………………………27
2.2.1 廣義估計方程式…………………………………………27
第三章 模擬研究……………………………………………………35
3.1 模擬方法………………………………………………………35
3.1.1 解釋變數的模擬…………………………………………35
3.1.2 反應變數無相關性………………………………………35
3.1.3 具相關性的二維、有序反應變數……………………39
3.1.4 具相關性的三維、有序反應變數……………………44
3.2 模擬結果………………………………………………………48
第四章 結論…………………………………………………………51
附表A
附表B
附表C
參考文獻

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