题目：Biased sampling, over-identified parameter problems and beyond
报告人：秦进(Jing Qin)教授
时间：9月22日（周五）上午10:00
地点：统计楼103
摘要：
Biased sampling occurs when a proper randomization cannot be achieved, the observed sample will not be representative of the population of interest. Biased sampling problems appear in many areas of research, including, Medicine, Epidemiology and Public Health, Social Sciences and Economics. The importance of biased sampling problem and over-identified parameter problem has been well recognized in statistics and econometrics. Among many other important contributions, econometricians Heckman and McFadden (2000) were awarded the Nobel prizes in economics for their fundamental contribution to selection sampling problems.Heckman was cited “for the development of theory and methods for analyzing selective samples,” and McFadden was cited “for his development of theory and methods for analyzing discrete choice.” The econometrician Hansen (2013) won the same prize for his contribution on the ground break research on GMM. In the introduction of his award, it was cited for“....His seminal paper, ‘Large Sample Properties of Generalized-Methods of Moments Estimators’, (1982 Econometrica) importantly altered the landscape for how empirical research is done in finance and macroeconomics.”
In this talk I will cover some topics in my latest book “Biased sampling, over-identified parameter problems and beyond” (Springer). Among others, the case and control study,semiparametric genetic mixture models, casual inference, and missing not at random data problems will be discussed. It would be very helpful for graduate students or young researchers.
报告人简介：
秦进(Jing Qin)教授， 现任职于美国Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases (NIAID)，NIH. 1986年于华东师范大学统计专业获得硕士学位，1992年于滑铁卢大学获得统计专业博士学位。我校统计系杰出校友。研究兴趣极其广泛，涉及Empirical likelihood,over-identified estimating equations, nonparametric and semiparametrc statistical analysis for clinical trial data，infectious diseases related data,epidemiological and genetic data,economic and survey sampling data. 至今已发表论文，特别是在JRSSB, Annals of Statistics,JASA,Biometrika上，发表论文无数。其中最著名的论文Qin, J. and Lawless, J. F. (1994). Empirical likelihood and general estimating equations. Ann. of Statist. 22, 300-325. 已被引用1400余次。2017年出版专著《Biased sampling, over-identified parameter problems and beyond》。