師資
個人簡介：
田國梁，南方科技大學統計與數據科學系教授、博士生導師。1988年獲得武漢大學統計學碩士學位、1998年獲得中國科學院應用數學研究所的統計學博士學位。從1998至2002年, 他分別在北京大學概率統計系和美國田納西州孟斐斯市的 St. Jude 兒童研究醫院生物統計系從事博士后研究, 2002年至2008年他在美國馬里蘭大學醫學院和Marlene and Stewart?Greenbaum?Comprehensive?癌癥中心任 Senior? Biostatistician。2008年至2016年他在香港大學統計及精算學系任副教授、博士生導師。田教授是國際統計學會 (ISI) 當選會員, 他擔任 Computational Statistics & Data Analysis, Statistics and Its Interface 等四個國際統計學雜志的副主編。他主要的研究領域是生物統計, 計算統計和社會統計。目前的研究方向包括多元零膨脹計數數據分析、斜與非對稱連續數據分析,??(0, 1) 區間上連續比率數據(以及其推廣, 即成份數據)的統計分析, 不完全分類數據分析, 和大維隨機矩陣的理論方法及應用。他首次提出的分組 Dirichlet 分布、套Dirichlet 分布和G分布在統計分布領域屬于創造性的工作,?在生物統計中具有廣泛而重要的應用;?他將非隨機化的概念引入到敏感性問題的隨機化應答技術中,?發展了一個稱之為非隨機化應答技術的新研究方向。他首次提出了一個新的組裝分解 (assembly-decomposition) 方法用以構造MM算法中的替代函數, 為MM算法在統計學中的廣泛應用開辟了新的通道. 2017年他的研究課題“MM算法中的幾類問題之研究及其應用”>獲得國家自然科學基金面上項目的資助。2018年他(排名第二)與南方科技大學環境科學與工程學院鄭焰講席教授的聯合研究課題<<中國北方地下水砷不同尺度空間非均質性驅動機制>> 獲得國家自然科學基金重點項目的資助。
教育背景
1995.9 - 1998.7 中國科學院應用數學研究所，北京, 統計學專業，統計學博士
1985.9 - 1988.7 武漢大學，武漢, 統計學系，統計學碩士
1981.9 - 1985.7 湖南師范大學，長沙, 數學系，理學學士
工作經歷
2019.08.22 – 至今,? ? ? ? ? ? 南方科技大學,? 統計與數據科學系,??統計學教授
2016.08.01?– 2019.08.21,??南方科技大學,? 數學系,??統計學教授
2008.09.01 – 2016.07.31,? 香港大學,? 統計與精算學系,??統計學副教授
2002.07.01 – 2008.08.31,? 馬里蘭大學(巴爾的摩市, 馬里蘭州, 美國)醫學院,? 流行病學和預防醫學系,? Instructor
2002.07.01 – 2008.08.31,? 馬里蘭大學Greenbaum?Comprehensive?癌癥中心,?生物統計學部, Senior?Biostatistician
2000.05.01 – 2002.06.30,? St. Jude 兒童研究醫院 (孟菲斯市, 田納西州, 美國), 生物統計系, 博士后
1998.09.01 – 2000.04.30,? 北京大學, 概率統計系, 博士后
1988.08.01 – 1995.08.31,? 航空航天工業部, 中國運載火箭研究院, 702研究所, 助理工程師, 工程師, 高級工程師
所獲榮譽：
2017? 入選深圳市海外高層次人才 "孔雀計劃" (B類)
在香港大學統計與精算學系的教學經歷
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
專業學會資格
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)
獲獎情況
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
生物統計：包括多元零膨脹計次數據分析，不完全分類數據與缺失數據分析，約束參數模型與變量選擇，藥物組合研究的實驗設計，癌癥臨床試驗與設計.
社會統計：敏感性問題的樣本調查
計算統計：EM算法, MM算法
專著
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.
國際統計雜志副主編
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 --
頂尖生物統計雜志文章 (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.
選擇的其他國際統計雜志文章
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.