张绍洪Google Scholar ResearcherID

教授 统计与数据科学系
张绍洪，教授。2019年9月加入南方科技大学。入职前，曾任香港中文大学统计系教授，博士生导师。1987年在美国乔治亚大学取得社会学及统计学硕士，其后在美国天普大学取得统计学博士。张教授曾于1998至2000年间任教于新加坡国立大学，并获该大学理学院颁发的教学奖。曾获得国家统计局第九届全国统计科学优秀成果二等奖及北美精算师学会2006 Edward A. Lew精算研究二等奖。主要研究的领域为临床试验和医药统计，特别是自适应设计、非劣效试验、多重比较以及其在临床试验上的应用。在统计学国际期刊Annals of Statistics, Journal of the Royal Statistical Society Series B, Biometrics等杂志上发表数十篇论文。
个人简介工作经历：
2019-9至现在, 南方科技大学, 统计与数据科学系, 教授
2008-9至2019-8, 香港中文大学, 统计系, 教授
1996-9至2008-8, 香港中文大学, 统计系, 副教授
1991-9至1996-8, 香港中文大学, 统计系, 讲师
教育背景:
社会学:?本科?(Concordia 84);?硕士?(Georgia 87)
统计学:?硕士?(Georgia 87);?博士?(Temple 91)

个人简介

研究领域多重比较, 临床试验, 自适应设计

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教学MA329 统计线性模型

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学术成果 查看更多·Zhong JJ, Wen MJ, and Cheung SH (2020). Identi_cation of the minimum non-inferior dose in a three-arm non-inferiority trial. Journal of the Korean Statistical Society, In press.
·Zhong JJ, Wen MJ, Cheung SH, and Poon WY (2020). Simultaneous tests of non-inferiority and superiority in three-arm clinical studies with heterogeneous variance. Communications in Statistics, In press.
·Gao J, Su PF, Hu F, and Cheung SH (2020). Adaptive treatment allocation for comparative clinical studies with recurrent events data. Biometrics, 76, 183-196.
·Lu TY, Chung KP, Poon WY and Cheung SH (2020). Response-Adaptive Treatment Allocation for Clinical Studies with Ordinal Responses. Statistical Methods in Medical Research, 29, 359-373.
·Gao J, Ma W, Cheung SH and Hu F (2020). Response-Adaptive Randomization in Clinical Trials: Recent Advances and Future Perspectives. Journal of Applied Statistics and Management, 39, 595-610.
· Xu W, Hu F and Cheung SH (2018) Adaptive designs for non-inferiority trials with multiple experimental treatments. Statistical Methods in Medical Research, 27, 3255-3270.
· Su PF and Cheung SH (2018) Response-adaptive treatment allocation for survival trials with clustered right-censored data. Statistics in Medicine, 37, 2427-2439.
· Xu W, Gao J, Hu F and Cheung SH (2018) Response-adaptive treatment allocation for non-inferiority trials with heterogeneous variances. Computational Statistics and Data Analysis, 124, 168-179.
· Zhong JJ, Wen MJ, Kwong KS and Cheung SH (2018) Testing of non-inferiority and superiority for three-arm clinical studies with multiple experimental treatments. Statistical Methods in Medical Research, 27, 1751-1765.
· Huang LC, Wen MJ, Cheung SH and Kwong KS (2017) Non-inferiority studies with multiple reference treatments. Statistical Methods in Medical Research, 26, 1295-1307.
· Yang P, Cheung SH and Poon WY (2017) Multiple comparisons with two controls for ordered categorical responses. Journal of Biopharmaceutical Statistics, 27, 111-123.
· Lu TY, Poon WY and Cheung SH (2016) Multiple comparisons of treatments with skewed ordinal responses. Computational Statistics and Data Analysis, 104, 223-232.
· Kwong KS, Cheung SH and Hayter A (2016) Step-up procedures for non-inferiority tests with multiple experimental treatments. Statistical Methods in Medical Research, 25, 1290-1302.
· Lu TY, Poon WY and Cheung SH (2016) Comparison of two treatments with skewed ordinal responses. Statistics in Medicine, 35, 189-201.
· Lu TY, Poon WY and Cheung SH (2015) Multiple comparisons with a control for a latent variable model with ordered categorical responses. Statistical Methods in Medical Research, 24, 949-967.
· Chan WS, Cheung SH, Chow WK and Zhang LX (2015) A robust test for threshold-type non-linearity in multivariate time-series analysis. Journal of Forecasting, 34, 441-454.
· Huang LC, Wen MJ and Cheung SH (2015) Non-inferiority studies with multiple new treatments and heterogeneous variances. Journal of Biopharmaceutical Statistics, 25, 958-971.
· Lu TY, Poon WY and Cheung SH (2014) A unified framework for the comparison of treatments with ordinal responses. Psychometrika, 79, 605-620.
· Zhang LX, Hu F, Cheung SH and Chan WS (2014) Asymptotic properties of multi-color randomly reinforced Polya urns. Advances in Applied Probability, 46, 585-602.
· Cheung SH, Zhang LX, Hu F and Chan WS (2014) Covariate-adjusted response-adaptive designs for generalized linear models. Journal of Statistical Planning and Inference, 149, 152-161
· Lin YQ, Kwong KS, Cheung SH, and Poon WY (2014) Step-up testing procedure for multiple comparisons with a control for a latent variable model with ordered categorical responses. Statistics in Medicine, 33, 3629-3638.
· Lin YQ, Cheung SH, Poon WY and Lu TY (2013) Pairwise comparisons with ordered categorical data. Statistics in Medicine, 32, 3192-3205.
· Kwong KS, Cheung SH, Hayter A and Wen MJ (2012) Extension of three-arm non-inferiority studies to trials with multiple new treatments. Statistics in Medicine, 31, 2833-2843.
· Kwong KS and Cheung SH (2012) Optimal design for p-value consistent step-up procedures for multiple comparisons with a control in direction-mixed families. Computational Statistics and Data Analysis, 56, 4157-4164.
· Zhang LX, Hu F, Cheung SH and Chan WS (2011) Immigrated urn models – theoretical properties and applications. Annals of Statistics. 39, 643-671.
· Li SH, Chan WS and Cheung SH (2011) Structural Changes in the Lee-Carter Mortality Indexes: Detection and Implications. North American Actuarial Journal, 15, 13-31.
· Kwong KS, Cheung SH and Wen MJ (2010) Sample size determination in step-up testing procedures for multiple comparisons with a control. Statistics in Medicine, 29, 2743-2756.
· Hung KC, Cheung SH, Chan WS and Zhang LX (2009) On a Robust Test for SETAR-Type Non-Linearity in Time Series Analysis. Journal of Forecasting, 28, 445-464.
· Chan WS, Zhang LX and Cheung SH (2009) Temporal aggregation of Markov-switching financial return models. Applied Stochastic Models in Business and Industry, 25, 359-383.
· Zhang LX, Chan WS, Cheung SH and Hung KC (2009) A note on the consistency of a robust estimator for threshold autoregressive processes. Statistics and Probability Letters, 79, 807-813.
· Hu F, Zhang LX, Cheung SH and Chan WS (2008) Doubly adaptive biased coin designs with delayed responses. The Canadian Journal of Statistics, 36, 541-559.
· Chan WS, Cheung SH, Zhang LX and Wu KH (2008) Temporal aggregation of equity return time-series models. Mathematics and Computers in Simulation, 78, 172-180.
· Kwong KS, Cheung SH, Holland B and Wang Y (2007) Three p-value consistent procedures for multiple comparisons with a control in direction-mixed families. Statistics in Medicine, 26, 4253-4272.
· Zhang LX, Hu F, Cheung SH and Chan WS (2007) Asymptotic properties of covariate-adjusted response-adaptive designs. Annals of Statistics, 35, 1166-1182.
· Zhang LX, Chan WS, Cheung SH and Hu F (2007) A Generalized drop-the-loser Urn for Clinical Trials with Delayed Responses. Statistica Sinica, 17, 387-409.
· Sun R, Cheung SH and Zhang LX (2007) A generalized drop-the-loser rule for multi-treatment clinical trials. Journal of Statistical Planning and Inference, 137, 2011-2023.
· Zhang LX, Hu F and Cheung SH (2006) Asymptotic theorems of sequential estimation-adjusted urn models. Annals of Applied Probability, 16, 340-369.
· Chan WS and Cheung SH (2005) A bivariate threshold time series model for analyzing Australian interest rates. Mathematics and Computers in Simulation, 68, 429-437.
· Cheung SH, Kwong KS, Chan WS and Leung SP (2004) Multiple comparisons with a control in families with both one-sided and two-sided hypotheses. Statistics in Medicine, 23, 2975-2988.
· Kwong KS, Cheung SH and Chan WS (2004) Multiple testing to establish superiority/equivalence of a new treatment compared with k standard treatments for unbalanced designs. Biometrics, 60, 491-498.
· Chan WS, Cheung SH and Wu KH (2004) Multiple Forecasts with Autoregressive Time Series Models: Case Studies. Mathematics and Computers in Simulation, 64, 421-430.
· Cheung SH, Wu KH and Quek AL (2003) Pairwise Comparisons in Each of Several Groups with Heterogeneous Variances. Biometrical Journal, 45, 325-334.
· Holland B and Cheung SH (2002) Family-wise Robustness Criteria for Multiple Comparisons Procedures. Journal of the Royal Statistical Society – Series B, 64, 63-77.
· Cheung SH, Wu KH and Lim SP (2002) Simultaneous Prediction Intervals for Multiple Comparisons with a Standard. Statistical Papers, 43, 337-347.
· Kwong KS, Holland B and Cheung SH (2002) A Modified Banjamini-Hochberg Multiple Comparisons Procedure for Controlling the False Discovery Rate. Journal of Statistical Planning and Inference, 104, 351-362.
· Wong YW and Cheung SH (2000) Simultaneous Pairwise Multiple Comparisons in a Two-Way Analysis of Covariance Model. Journal of Applied Statistics, 27, 281-291.
· Chan WS, Lo WC and Cheung SH (1999) Return Transmission Among Stock Markets of Greater China. Mathematics and Computers in Simulation, 48, 515-522.
· Chan WS, Cheung SH and Wu KH (1999) On Exact Joint Forecast Regions for Vector Autoregressive Models. Journal of Applied Statistics, 26, 35-44.
· Cheung SH, Wu KH and Chan WS (1998) Simultaneous Prediction Intervals for Autoregressive-Integrated Moving-Average Models: A Comparative Study. Computational Statistics and Data Analysis, 28, 297-306.
· Cheung SH and Zhu HT (1998) Simultaneous One-Sided Pairwise Comparisons in a Two-Way Design. Biometrical Journal, 40, 613-625.
· Cheung SH and Wu Y (1998) The Power Function of the Maximum Studentized Range Test in a Two-Way Design. Statistics and Probability Letters, 38, 369-376.
· Cheung SH and Chan WS (1996) Simultaneous Confidence Intervals for Pairwise Multiple Comparisons in a Two-Way Unbalanced Design. Biometrics, 52, 463-472.
· Wu KH and Cheung SH (1994) Subset Selection for Normal Means in a Two-Way Design. Biometrical Journal, 36, 165-175.
· Cheung SH and Holland B (1994) A Step-Down Procedure for Multiple Tests of Treatment vs Control in Each of Several Groups. Statistics in Medicine, 13, 2261-2267.
· Chan WS and Cheung SH (1994) On Robust Estimation of Threshold Autoregressions. Journal of Forecasting, 13, 37-49.
· Cheung SH, Wu KH and Holland, B (1993) Simultaneous Prediction Intervals for All Pairwise Differences Among Several Future Sample Means. Communications in Statistics: Theory and Methods, 22, 3087-3096.
· Cheung SH and Holland B (1992) Extension of Dunnett’s Multiple Comparison Procedure with Differing Sample Sizes to the Case of Several Groups. Computational Statistics and Data Analysis, 14, 165-182.
· Cheung SH and Holland B (1991) Extension of Dunnett’s Multiple Comparison Procedure to the Case of Several Groups. Biometrics, 47, 21-32.



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统计与数据科学系本科生导师见面会成功举行2019-09-09

我校统计与数据科学系正式成立2019-08-21

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统计与数据科学系成立于 2019年4月，目前共有科研教学系列教师 8人，其中有讲席教授1人，教授2人，副教授2人，Tenure-track助理教授2人，访问助理教授1人。本系有统计学和数据科学（筹）2个学科方向，包含生物统计、金融统计、实验设计、高维数据、随机矩阵、时间序列、概率论、数据科学等主要研究领域。本系的教师100%有境外学习或工作经历，包括1名国际数学家大会邀请报告人，1位国家自然科学奖二等奖获得者，1名国际数理统计学会会士，理事会常务理事，Medallion讲座演讲者。
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本系志在为国家培养出思想活跃，创新意识和能力强，科研品味高，脚踏实地，有朝气，有理想的拔尖人才。系里已有统计学本科专业和统计学硕、博学位授予权，并在积极筹建数据科学与大数据本科专业。2019年南科大成功培养出了第一届38名统计学本科毕业生。系里的教师们在多种联培和南科大数学学科硕博点框架下已培养统计学硕士毕业生5名，现有在读统计学硕士生17名、博士生9名、博士后1名。随着本系的发展和师资力量的增强，研究生招生数目将逐年上升，招生方向也将包括数据科学与大数据技术。
本系目前正处于一个高速发展时期，师资力量在未来的几年内将大幅度增长。大数据时代的到来为统计和数据科学的发展带来了良好的机会。我们诚请国内外优秀的统计和数据科学****加入我系的教师行列，为把我系建设成为一流的统计与数据科学系而共同奋斗。同时，我们热诚欢迎优秀的本科生、研究生、博士后到我系学习、研究。

统计与数据科学系：https://stat-ds.sustech.edu.cn/

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