時 間:6月13日(星期一)至15日(星期三)共三天 1.報到時間:6月13日上午9:00~9:30 2.上課時間:6月13日~15日上午 09:00~12:00,下午 13:00~16:30
地 點:本院人文社會科學研究中心第一會議室
主辦單位:本院人文社會科學研究中心
主 講 人:Lingxin Hao, Professor, Department of Sociology, Johns Hopkins University
課程內容: Section Topics Section 1 Generalized linear models i. Review regression, MLE, probability distributions ii. Review odds ratio and likelihood ratio test iii. Generalized linear models Section 2 Binary logit and probit models i. Model checking and goodness of fit ii. Diagnostics iii. Interpretation and inference Section 3 Models for multi-category dependent variables i. Multinomial logit ii. Conditional logit and nested logit iii. Ordered logit Section 4 Longitudinal data: continuous vs. discrete time i. Events, spells, and states ii. Left and right censoring iii. Time-invariant and time-varying variables iv. Data structure and missing data issues Section 5 Continuous time models: event history analysis i. Kaplan-Meier’s survivor function ii. Hazard functions: exponential, Weibull, Gompertz iii. Proportional and non-proportional hazards Section 6 Discrete time static models i. State probability model ii. With fixed effects iii. With random effects Section 7 Discrete time dynamic models i. Transition models: Markov and semi-Markov chain ii. With fixed effects iii. With random effects Section 8 Reciprocal causation of two interdependent processes i. Cross-lagged causation ii. Convert multinomial estimates to estimates of two processes
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