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審定:無
翻譯:翁于棻(簡介並寄信)
編輯:侯嘉玨(簡介並寄信)

課程單元 閱讀資料
1 導讀:課程目標與運算
Introduction: Course Goals and Logistics
精讀STATA®啟動工具,結合UCLA學術技術服務組於網路上提供的資料。
Peruse the STATA® Starter Kit, put together by the UCLA Academic Technology Services group.
2 理論:普通最小平方迴歸
Principles: Ordinary Least Squares Regression
Fox, John著,〈線性最小平方迴歸〉,《應用迴歸分析、線性模型與相關方法》85-111,Thousand Oaks, CA: Sage, 1997. ISBN: 080394540X。
Fox, John. "Linear Least Squares Regression." In Applied Regression Analysis, Linear Models, and Related Methods, 85-111. Thousand Oaks, CA: Sage, 1997.  ISBN: 080394540X.

Kennedy, Peter,"古典線性迴歸模型"和"區間估計與假說檢驗"《計量經濟學指南》,第四版,42-72,劍橋大學, MA:麻省理工學院出版社, 1998. ISBN: 0262611406.
Kennedy, Peter. "The Classical Linear Regression Model" and "Interval Estimation and Hypothesis Testing." In A Guide to Econometrics. 4th ed., pp. 42-72. Cambridge, MA: MIT Press, 1998. ISBN: 0262611406.

Friedrich, Robert J著,"保衛多重迴歸中的倍增項",《美國政治學期刊》,26 (1982): 797-833.
Friedrich, Robert J. "In Defense of Multiplicative Terms in Multiple Regression Equations." American Journal of Political Science 26 (1982): 797-833.
3 應用:普通最小平方迴歸
Applications: Ordinary Least Squares Regression
Datta, Deepak, James G. Guthrie和Patrick M. Wright著,〈人力資源管理與組織生產力:產業重要嗎?〉,<管理學會期刊>(2005年2月即將出版)
Datta, Deepak, James G. Guthrie, and Patrick M. Wright. "HRM and Firm Productivity: Does Industry Matter?" Academy of Management Journal (forthcoming February 2005).
4 理論:二元結果模型
Principles: Models for Binary Outcomes
Alrich, John H.和Forrest D. Nelson著,《線性機率、對數轉換值/機率轉換值模型》,Newbury Park,CA:Sage出版, 1984. ISBN: 0803921330.
Aldrich, John H., and Forrest D. Nelson. Linear Probability, Logit and Probit Models. Newbury Park, CA: Sage, 1984.

Petersen, Trond著,〈對數轉換值/機率轉換值模型結果之評論〉,美國社會學評論,50 (1985): 130-131.
Petersen, Trond. "A Comment on Presenting Results from Logit and Probit Models." American Sociological Review 50 (1985): 130-131.
5 應用:二元結果模型
Applications: Models for Binary Outcomes
Burt, Ronald S著,《好點子的社會來源》,工作底稿,芝加哥大學, 2003.
Burt, Ronald S. "The Social Origins of Good Ideas." Working paper, University of Chicago, 2003.
6 理論:計算模型
Principles: Models for Counts
Long, J. Scott著,〈計算結果:計算之迴歸模型〉,《類別限制相依變數之迴歸模型》,217-250. Thousand Oaks, CA: Sage, 1997. ISBN: 0803973748.
Long, J. Scott. "Count Outcomes: Regression Models for Counts" In Regression Models for Categorical and Limited Dependent Variables, 217-250. Thousand Oaks, CA: Sage, 1997.  ISBN: 0803973748.
7 應用:計算模型
Applications: Models for Counts
Ziedonis, Rosemarie Ham著,〈放我出來:技術的分散市場與企業的專利策略〉,工作底稿,密西根大學, 2003.
Ziedonis, Rosemarie Ham. "Don't fence me in: Fragmented markets for technology and the patent acquisition strategies of firms." Working paper, University of Michigan, 2003.
8 理論:跨區域整合/時間序列分析
Principles: Pooled Cross-Section/Time Series Analysis
Greene, William H著,〈追蹤資料模型〉,《計量經濟學分析》,第三版, 612-635. Upper Saddle River, NJ: Prentice Hall, 1997. ISBN: 0130132977.
Greene, William H. "Models for Panel Data." In Econometric Analysis. 3rd ed., 612-635.  Upper Saddle River, NJ: Prentice Hall, 1997.  ISBN: 0130132977.

Halaby, Charles著,〈社會學研究之追蹤模型:從理論到實作〉,2004,即將出版,《社會學年報》.
Halaby, Charles. "Panel Models in Sociological Research: Theory into Practice." 2004. Forthcoming, Annual Review of Sociology.
9 應用:跨區域整合/時間序列分析
Applications: Pooled Cross-Section/Time Series Analysis
Bothner, Matthew著,〈全球電腦產業之架構、規模與範疇〉,未發表手稿,芝加哥大學, 2003.
Bothner, Matthew. "Structure, scale and scope in the global computer industry." Unpublished manuscript, University of Chicago, 2003.
10 理論:事件歷史分析與數據架構之基礎概念
Principles: Basic Concepts of Event History Analysis and Data Structures
Singer and Willett著,〈調查事件發生之架構〉,第九章於《應用縱向數據分析:模型改變與事件產生》,紐約:牛津大學出版社,2003. ISBN: 0195152964.
Singer and Willett. "A Framework for Investigating Event Occurrence." Chapter 9 in Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. New York: Oxford University Press, 2003.  ISBN: 0195152964.

Cleves, Mario, William Gould和Roberto Gutierrez著,〈存活分析問題〉,第一章,《使用STATA®作存活分析之導論》,Stata 出版社, 2002. ISBN: 1881228630.
Cleves, Mario, William Gould, and Roberto Gutierrez. "The Problem of Survival Analysis." Chapter 1 in An Introduction to Survival Analysis Using STATA®. Stata Press, 2002.  ISBN: 1881228630.

STATA®股份有限公司,STATAR 8.0:存《活分析與流行病學目錄》(使用手冊),2003. ISBN: 1881228673. 涵蓋-stset-之入門.
STATA® Corporation. STATA® 8.0: Survival Analysis and Epidemiological Tables (manual). 2003. ISBN: 1881228673.  Entry covering -stset-.
11 理論:事件歷史數據之敘述統計
Principles: Descriptive Statistics for Event History Data
Carroll, Glenn R著,(離散相依變數之動態分析:教學論文〉,《質與量》 17 (1983): 425-460.
Carroll, Glenn R. "Dynamic Analysis of Discrete Dependent Variables: A Didactic Essay." Quality and Quantity 17 (1983): 425-460.

Singer and Willett著,(敘述離散-時間事件數據〉和(連續-時間事件數據〉,第十章、第十三章,《應用縱向數據分析:模型改變與事件產生》,紐約: 牛津大學出版社, 2003. ISBN: 0195152964.
Singer and Willett. "Describing Discrete-Time Event Occurrence Data" and "Describing Continuous-Time Event Occurrence Data." Chapters 10 and 13 in Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. New York: Oxford University Press, 2003.  ISBN: 0195152964.
12 理論:事件歷史數據之模型
Principles: Models for Event History Data
Singer and Willett著,第十一章:〈適用基本離散-時間危險模型〉和第十四章:〈適用Cox迴歸模型〉 《應用縱向數據分析:模型改變與事件產生》,紐約: 牛津大學出版社, 2003. ISBN: 0195152964.
Singer and Willett. Chapter 11: "Fitting Basic Discrete-Time Hazard Models" and Chapter 14: "Fitting Cox Regression Models." In Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. New York: Oxford University Press, 2003.  ISBN: 0195152964.

Cleves, Mario, William Gould和Roberto Gutierrez著,〈參數模型〉和〈STATA®中對參數迴歸模型之調查〉第十二章和第十三章(加速失敗時間模型選擇),《使用STATA®作存活分析導論》,Stata 出版社, 2002. ISBN: 1881228630.
Cleves, Mario, William Gould, and Roberto Gutierrez. "Parametric Models" and "A Survey of Parametric Regression Models in STATA®." Chapters 12 and 13 (Sections of accelerated failure time models optional) in An Introduction to Survival Analysis Using STATA®. Stata Press, 2002.  ISBN: 1881228630.
13 應用:事件歷史分析
Applications: Event History Analysis
14 回顧與整合
Review and Wrap-up

 
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