臺灣博碩士論文加值系統

二元邏輯斯迴歸分析應用於社會科學,行為科學與公共衛生之領域由來已
久.而多層邏輯斯迴歸模式則為二元邏輯斯迴歸之推廣.目前國內對這方面
的研究並不多,主要的原因之一即是其在應用上較為複雜.本文的目的即是
應用多層邏輯斯迴歸模式於實際數據上,以便對此模式有更深一層的了解.
吾等利用三組數據進行多層邏輯斯迴歸分析,其中除了推算出相對對比值
外,亦包括有模式診斷及模式適合度檢定,對這三組數據做了完整而詳細的
介紹及分析,我們希望能藉此提供一個實用的範例做為相關領域研究人員
之重要參考.

For a long time,binary logistic regression analysis has had its
appications in many filds,such as social science,behavior
science,public health,etc.Polychotomous logistic regression
analysis is the extension of binary logistic regression
analysis.There is not much research done about this topic in
Taiwan now.This is partly because of the complexity of
applications of polychotomous logistic regression analysis.The
goal of this paper is to apply polychotomous logistic regression
analysis to three data in order to know more about it.In this
paper,we use three data to do polychotomous logistic regression
analysis.Model papameters estimation,odds ratio,model
diagnostics and goodness of fit test are included in the
analysis.By introducing and analyzing three data completely and
in detail,we hope that by supplying a practical example it will
become an important reference in the associated fields.