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阅读资料Course Readings.
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导读：课程目标与运算Introduction: Course Goals and Logistics |
精读STATA®启动工具，结合UCLA学术技术服务组于网络上提供的资料。Peruse the STATA® Starter Kit, put together by the UCLA Academic Technology Services group. |
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理论：普通最小平方回归Principles: Ordinary Least Squares Regression |
Fox, John着，〈线性最小平方回归〉，《应用回归分析、线性模型与相关方法》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，"古典线性回归模型"和"区间估计与假说检验"《计量经济学指南》，第四版，42-72，剑桥大学， MA：麻省理工学院出版社, 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着，"保卫多重回归中的倍增项"，《美国政治学期刊》，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 |
应用：普通最小平方回归Applications: Ordinary Least Squares Regression |
Datta, Deepak, James G. Guthrie和Patrick M. Wright着，〈人力资源管理与组织生产力：产业重要吗？〉，<管理学会期刊>（2005年2月即将出版）Datta, Deepak, James G. Guthrie, and Patrick M. Wright. "HRM and Firm Productivity: Does Industry Matter?" Academy of Management Journal (forthcoming February 2005). |
| 4 |
理论：二元结果模型Principles: Models for Binary Outcomes |
Alrich, John H.和Forrest D. Nelson着，《线性机率、对数转换值／机率转换值模型》，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着，〈对数转换值／机率转换值模型结果之评论〉，美国社会学评论，50 (1985): 130-131.Petersen, Trond. "A Comment on Presenting Results from Logit and Probit Models." American Sociological Review 50 (1985): 130-131. |
| 5 |
应用：二元结果模型Applications: Models for Binary Outcomes |
Burt, Ronald S着，《好点子的社会来源》，工作底稿，芝加哥大学, 2003.Burt, Ronald S. "The Social Origins of Good Ideas." Working paper, University of Chicago, 2003. |
| 6 |
理论：计算模型Principles: Models for Counts |
Long, J. Scott着，〈计算结果：计算之回归模型〉，《类别限制相依变数之回归模型》，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 |
应用：计算模型Applications: Models for Counts |
Ziedonis, Rosemarie Ham着，〈放我出来：技术的分散市场与企业的专利策略〉，工作底稿，密西根大学, 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 |
理论：跨区域整合／时间序列分析Principles: Pooled Cross-Section/Time Series Analysis |
Greene, William H着，〈追踪资料模型〉，《计量经济学分析》，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着，〈社会学研究之追踪模型：从理论到实作〉，2004，即将出版，《社会学年报》. Halaby, Charles. "Panel Models in Sociological Research: Theory into Practice." 2004. Forthcoming, Annual Review of Sociology. |
| 9 |
应用：跨区域整合／时间序列分析Applications: Pooled Cross-Section/Time Series Analysis |
Bothner, Matthew着，〈全球计算机产业之架构、规模与范畴〉，未发表手稿，芝加哥大学, 2003.
Bothner, Matthew. "Structure, scale and scope in the global computer industry." Unpublished manuscript, University of Chicago, 2003. |
| 10 |
理论：事件历史分析与数据架构之基础概念Principles: Basic Concepts of Event History Analysis and Data Structures |
Singer and Willett着，〈调查事件发生之架构〉，第九章于《应用纵向数据分析：模型改变与事件产生》，纽约：牛津大学出版社，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着，〈存活分析问题〉，第一章，《使用STATA®作存活分析之导论》，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《活分析与流行病学目录》（使用手册），2003. ISBN: 1881228673. 涵盖-stset-之入门.STATA® Corporation. STATA® 8.0: Survival Analysis and Epidemiological Tables (manual). 2003. ISBN: 1881228673. Entry covering -stset-. |
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理论：事件历史数据之叙述统计Principles: Descriptive Statistics for Event History Data |
Carroll, Glenn R着，（离散相依变数之动态分析：教学论文〉，《质与量》 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着，（叙述离散－时间事件数据〉和（连续－时间事件数据〉，第十章、第十三章，《应用纵向数据分析：模型改变与事件产生》，纽约: 牛津大学出版社, 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. |
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理论：事件历史数据之模型Principles: Models for Event History Data |
Singer and Willett着，第十一章：〈适用基本离散－时间危险模型〉和第十四章：〈适用Cox回归模型〉 《应用纵向数据分析：模型改变与事件产生》，纽约: 牛津大学出版社, 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着，〈参数模型〉和〈STATA®中对参数回归模型之调查〉第十二章和第十三章（加速失败时间模型选择），《使用STATA®作存活分析导论》，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. |
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应用：事件历史分析Applications: Event History Analysis |
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回顾与整合Review and Wrap-up |
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