Efron, B. (1988). Logistic regression, survival analysis, and the Kaplan-Meier curve. Journal of the American statistical Association, 83(402), 414-425. -PDF-
Peterson Jr, A. V. (1977). Expressing the Kaplan-Meier estimator as a function of empirical subsurvival functions. Journal of the American Statistical Association, 72(360a), 854-858. -PDF-
T3. 离散时间 Logit 模型 (Discrete-Time Logit Models)
Allison, P. D. (1982). Discrete-time methods for the analysis of event histories. Sociological methodology, 13, 61-98. -PDF-
Yamaguchi, K. (1990). Logit and multinomial logit models for discrete-time event-history analysis: a causal analysis of interdependent discrete state processes. Quality and Quantity, 24(3), 323-341. -PDF-
Muthén, B., & Masyn, K. (2005). Discrete-time survival mixture analysis. Journal of Educational and Behavioral statistics, 30(1), 27-58. -PDF-
Singer, J. D., & Willett, J. B. (1993). It’s about time: Using discrete-time survival analysis to study duration and the timing of events. Journal of educational statistics, 18(2), 155-195. -PDF-
Lambert, P. C., & Royston, P. (2009). Further development of flexible parametric models for survival analysis. The Stata Journal, 9(2), 265-290. -PDF-
Nelson, C. P., Lambert, P. C., Squire, I. B., & Jones, D. R. (2007). Flexible parametric models for relative survival, with application in coronary heart disease. Statistics in Medicine, 26(30), 5486-5498. -PDF-
T5. 分段恒定对数比率模型 (Log-Rate Models for Piecewise Constant Rates)
Lalive, R., Van Ours, J., & Zweimüller, J. (2006). How changes in financial incentives affect the duration of unemployment. The Review of Economic Studies, 73(4), 1009-1038. -PDF-
Walder, A. G., Li, B., & Treiman, D. J. (2000). Politics and life chances in a state socialist regime: Dual career paths into the urban Chinese elite, 1949 to 1996. American Sociological Review, 191-209. -PDF-
Pourhoseingholi, M. A., Hajizadeh, E., Moghimi Dehkordi, B., Safaee, A., Abadi, A., & Zali, M. R. (2007). Comparing Cox regression and parametric models for survival of patients with gastric carcinoma. Asian Pacific Journal of Cancer Prevention, 8(3), 412. -PDF-
Tian, L., Zucker, D., & Wei, L. J. (2005). On the Cox model with time-varying regression coefficients. Journal of the American statistical Association, 100(469), 172-183. -PDF-
希望学员在开课前能重温计量经济学基础知识,对线性回归、假设检验有所了解,并具备一定的 Stata 软件操作基础。若对社会调查方法、社会统计有所了解,则更容易理解课程中的案例。当然,「大道至简、殊途同归」,
参考教材
前 3 本为生存分析领域经典教科书,后 2 本偏向于 Stata 应用。
Allison, P. D., 1984. Event History Analysis (2nd) (No. 46). Sage. -在线阅读-
Yamaguchi, K., 1991. Event History Analysis. Sage. -Link-,-PDF-
Singer, J. D., Willett, J. B., & Willett, J. B., 2003. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford university press. -Link-
Cleves, Mario, William Gould, and Yulia Marchenko. An Introduction to Survival Analysis Using Stata, Revised Third Edition. 2016. Stata Press. -Link-
陈强. 2014. 高级计量经济学及 Stata 应用 (第 2 版). 高等教育出版社. -Link-