南方科技大学是由中国广东省领导和管理、深圳市举全市之力创建的一所公办创新型大学,目标是迅速建成国际化高水平研究型大学,建成中国重大科学技术研究与拔尖创新人才培养的重要基地……

南方科技大学以学分制、导师制、书院制为基础,以人才培养的个性化、小班化、国际化为特色,通过为一流的人才培养体系,培养人格健全、基础扎实、能力突出、具有国际视野、社会责任感、创新精神和实践能力的高素质人才。

南方科技大学被确定为国家高等教育综合改革试验校。2012年4月,教育部同意建校,并赋予学校探索具有中国特色的现代大学制度、探索创新人才培养模式的重大使命。

南方科技大学对本科学生采用书院制管理模式,以书院、团委、社团等平台为载体,为学生营造了精彩的大学生活。

南方科技大学本科招生采用基于高考的综合评价录取模式,即高考成绩占60%,我校自主组织的能力测试成绩占30%(其中面谈成绩为5%),高中学业水平考试成绩占10%,按考生“631”综合成绩排名从高到低录取。综合评价录取模式由我校在2012年率先实施。

南科大教育基金会由理事会、监事会、秘书处组成。理事会是基金会的最高权力机构;监事会负责检查财务和会计资料,监督理事会遵守法律和章程的情况;秘书处是基金会常设办事机构,在理事会领导下负责基金会的日常工作。

学校党委切实履行党建工作职责,不断强化班子建设和基层党组织建设,充分发挥好党委对学校各项工作的核心统领作用和各党支部的战斗堡垒作用,切实开展组织统战和党风廉政建设各项工作。学校高度重视群团组织建设,充分调动全体师生员工积极性,维护教职工的合法权益,推进学校民主管理,促进学校健康发展,全力营造齐心协力、团结向上、奋发有为的干事创业氛围。

书院导师

首页 > 学生生活 > 树仁书院 > 书院导师 > 田国梁

师资队伍

田国梁


教授

数学系

0755-88018756

科教服务中心 801-5

tiangl@sustc.edu.cn

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

2016.8.1 – 至今              南方科技大学,数学系,教授

2008.9.1 – 2016.7.31     香港大学,统计与精算学系,副教授

2002.7.1 – 2008.8.31     马里兰大学(巴尔的摩市, 马里兰州, 美国)医学院

Greenebaum Cancer Center,生物统计学部,Senior Biostatistician.

2002.7.1 – 2008.8.31     马里兰大学医学院,流行病学和预防医学系,Instructor

2000.5.1 – 2002.6.30     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

1998.9.1 – 2000.4.30     北京大学, 概率统计系,博士后

1988.8.1 – 1995.8.31     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.

 

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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