师资

田国梁
教授
0755-88018756
tiangl@sustech.edu.cn

个人简介:

田国梁,南方科技大学统计与数据科学系教授、博士生导师。1988年获得武汉大学统计学硕士学位、1998年获得中国科学院应用数学研究所的统计学博士学位。从1998至2002年, 他分别在北京大学概率统计系和美国田纳西州孟斐斯市的 St. Jude 儿童研究医院生物统计系从事博士后研究, 2002年至2008年他在美国马里兰大学医学院和Marlene and Stewart Greenbaum Comprehensive 癌症中心任 Senior  Biostatistician。2008年至2016年他在香港大学统计及精算学系任副教授、博士生导师。田教授是国际统计学会 (ISI) 当选会员, 他担任 Computational Statistics & Data Analysis, Statistics and Its Interface 等四个国际统计学杂志的副主编。他主要的研究领域是生物统计, 计算统计和社会统计。目前的研究方向包括多元零膨胀计数数据分析、斜与非对称连续数据分析,  (0, 1) 区间上连续比率数据(以及其推广, 即成份数据)的统计分析, 不完全分类数据分析, 和大维随机矩阵的理论方法及应用。他首次提出的分组 Dirichlet 分布、套Dirichlet 分布和G分布在统计分布领域属于创造性的工作, 在生物统计中具有广泛而重要的应用; 他将非随机化的概念引入到敏感性问题的随机化应答技术中, 发展了一个称之为非随机化应答技术的新研究方向。他首次提出了一个新的组装分解 (assembly-decomposition) 方法用以构造MM算法中的替代函数, 为MM算法在统计学中的广泛应用开辟了新的通道. 2017年他的研究课题“MM算法中的几类问题之研究及其应用”>获得国家自然科学基金面上项目的资助。2018年他(排名第二)与南方科技大学环境科学与工程学院郑焰讲席教授的联合研究课题<<中国北方地下水砷不同尺度空间非均质性驱动机制>> 获得国家自然科学基金重点项目的资助。

 

教育背景
1995.9 - 1998.7 中国科学院应用数学研究所,北京, 统计学专业,统计学博士
1985.9 - 1988.7 武汉大学,武汉, 统计学系,统计学硕士
1981.9 - 1985.7 湖南师范大学,长沙, 数学系,理学学士

 

工作经历

2019.08.22 – 至今,            南方科技大学,  统计与数据科学系,  统计学教授

2016.08.01 – 2019.08.21,  南方科技大学,  数学系,  统计学教授

2008.09.01 – 2016.07.31,  香港大学,  统计与精算学系,  统计学副教授

2002.07.01 – 2008.08.31,  马里兰大学(巴尔的摩市, 马里兰州, 美国)医学院,  流行病学和预防医学系,  Instructor

2002.07.01 – 2008.08.31,  马里兰大学Greenbaum Comprehensive 癌症中心, 生物统计学部, Senior Biostatistician

2000.05.01 – 2002.06.30,  St. Jude 儿童研究医院 (孟菲斯市, 田纳西州, 美国), 生物统计系, 博士后

1998.09.01 – 2000.04.30,  北京大学, 概率统计系, 博士后

1988.08.01 – 1995.08.31,  航空航天工业部, 中国运载火箭研究院, 702研究所, 助理工程师, 工程师, 高級工程师

 

所获荣誉:

2017  入选深圳市海外高层次人才 "孔雀计划" (B类)

 

在香港大学统计与精算学系的教学经历
STAT2802/3902 Statistical Models
STAT3317/6011 Computational Statistics
STAT3304 Computer-aided Statistical Modeling
STAT3331/3621 Statistical Data Analysis
STAT2307 Statistics in Clinical Medicine and Bio-medical Research
STAT7005 Multivariate Methods

 

专业学会资格
2000.5 – 至今 Member, American Statistical Association
2000.5 – 至今 Permanent Member,International Chinese Statistical Association
2014.6 – 至今 Elected member, International Statistical Institute (ISI)

 

获奖情况
2011 - 2012 Research Output Prize, Faculty of Science of the University of Hong Kong (A monetary award of HK$120,000 for research purposes)

 

研究方向
生物统计:包括多元零膨胀计次数据分析,不完全分类数据与缺失数据分析,约束参数模型与变量选择,药物组合研究的实验设计,癌症临床试验与设计.
社会统计:敏感性问题的样本调查
计算统计:EM算法, MM算法

 

专著
Tan M, Tian GL and Ng KW (2010). Bayesian Missing Data Problems: EM,
Data Augmentation and Non-iterative Computation. Chapman & Hall/CRC (Biostatistics Series), Boca Raton, USA.
Ng KW, Tian GL and Tang ML (2011). Dirichlet and Related Distributions: Theory, Methods and Applications. John Wiley & Sons(Wiley Series in Probability and Statistics), New York, USA.
Tian GL and Tang ML (2014). Incomplete Categorical Data Design: Non-randomized Response Techniques for Sensitive Questions in Surveys. Chapman & Hall/CRC (Statistics in the Social and Behavioral Sciences), Boca Raton, USA.

 

国际统计杂志副主编
Statistics and Its Interface, 2013 --
Communications in Statistics - Theory and Methods, 2013 --
Communications in Statistics - Simulation and Computation, 2013 --
Computational Statistics and Data Analysis, 2014 --

 

顶尖生物统计杂志文章 (12 papers)
Biostatistics Journal 1: Statistical Methods in Medical Research [Impact Factor=4.472; Ranking No. 1 in the category of biostatistics, 2014 JCR, ISI Web Knowledge] (4 papers)
[1] Tian GL, Zhang C and Jiang XJ (2016). Valid statistical inference methods for a case control study with missing data, in press.
[2] Tian GL and Li HQ (2015). A new framework of statistical inferences based on the valid joint sampling distribution of observed counts in an incomplete contingency table, in press.
[3] Tian GL, Tang ML, Wu Q and Liu Y (2015). Poisson and negative binomial item count techniques for surveys with sensitive question, in press.
[4] Tian GL, Tang ML, Liu ZQ, Tan M and Tang NS (2011). Sample size determination for the non-randomized triangular model for sensitive questions in a survey, 20(3), 159-173.
Biostatistics Journal 2: Statistics in Medicine [Impact Factor=1.825; Ranking No. 3 in the category of biostatistics, 2014 JCR, ISI Web Knowledge] (7 papers)
[5] Pei YB, Tian GL and Tang ML (2014). Testing homogeneity of proportion ratios for stratified correlated bilateral data in two-arm randomize clinical trials, 33(25), 4370-4386.
[6] Tang ML, Ling MH, Ling L and Tian GL (2010). Confidence intervals for a difference between proportions based on paired data, 29(1), 86-96.
[7] Tang ML, Ling MH and Tian GL (2009). Exact and approximate unconditional confidence intervals for proportion difference in the presence of incomplete data, 28, 625-641.
[8] Tian GL, Yu JW, Tang ML and Geng Z (2007). A new non-randomized model for analyzing sensitive questions with binary outcomes, 26(23), 4238-4252.
[9] Fang HB, Tian GL, Xiong XP and Tan M (2006). A multivariate random-effects model with restricted parameters: Application to assessing radiation therapy for brain tumors, 25(11), 1948-1959.
[10] Tan M, Fang HB, Tian GL and Houghton PJ (2005). Repeated-measures models with constrained parameters for incomplete data in tumor xenograft experiments, 24(1), 109-119.
[11] Tan M, Fang HB, Tian GL and Houghton PJ (2003). Experimental design and sample size determination for testing synergism in drug combination studies based on uniform measures, 22(13), 2091-2100.
Biostatistics Journal 3: Biometrics [Impact Factor=1.568; Ranking No. 4 in the category of biostatistics, 2014 JCR, ISI Web Knowledge] (1 paper)
[12] Tan M, Fang HB, Tian GL and Houghton PJ (2002). Small-sample inference for incomplete longitudinal data with truncation and censoring in tumor xenograft models, 58(3), 612-620.

 

选择的其他国际统计杂志文章
Tian GL, Ma HJ, Zhou Y and Deng DL (2015). Generalized endpoint-inflated binomial model. Computational Statistics and Data Analysis 89, 97-114.
Liu Y and Tian GL (2015). Type I multivariate zero-inflated Poisson distribution with applications. Computational Statistics and Data Analysis 83, 200-222.
Liu Y and Tian GL (2013). A variant of the parallel model for sample surveys with sensitive characteristics. Computational Statistics and Data Analysis 67, 115-135.
Tian GL, Tang ML, Yuen KC and Ng KW (2010). Further properties and new applications for the nested Dirichlet distribution. Computational Statistics and Data Analysis 54, 394-405.
Ng KW, Tang ML, Tian GL and Tan M (2009). The nested Dirichlet distribution and incomplete categorical data analysis. Statistica Sinica 19(1), 251-271.
Tan M, Tian GL, Fang HB and Ng KW (2007). A fast EM algorithm for quadratic optimization subject to convex constraints. Statistica Sinica 17(3), 945-964.
Tan M, Tian GL and Ng KW (2003). A non-iterative sampling method for computing posteriors in the structure of EM-type algorithms. Statistica Sinica 13(3), 625-639.
Zhang YQ, Tian GL and Tang NS (2016). Latent variable selection in structural equation models. Journal of Multivariate Analysis, in press.
Liu BS, Xu L, Zheng SR and Tian GL (2014). A new test for the proportionality of two large-dimensional covariance matrices. Journal of Multivariate Analysis 131, 293-308.
Tian GL, Fang HB, Tan M, Qin H and Tang ML (2009). Uniform distributions in a class of convex polyhedrons with applications to drug combination studies. Journal of Multivariate Analysis 100(8), 1854-1865.
Ng KW, Tang ML, Tan M and Tian GL (2008). Grouped Dirichlet distribution: A new tool for incomplete categorical data analysis. Journal of Multivariate Analysis 99(3), 490-509.
Tan M, Fang HB, Tian GL and Wei G (2005). Testing multivariate normality in incomplete data of small sample size. Journal of Multivariate Analysis 93, 164-179.

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