Cheung Siu Hung

Professor Department of Statistics and Data Science

Personal Profile

Positions Held:

2019.9 – present, Professor, Department of Statistics and Data Science, Southern University of Science and Technology

2008.9 – 2019.8, Professor, Department of Statistics, The Chinese University of Hong Kong

1996.9 – 2008.8, Associate Professor, Department of Statistics, The Chinese University of Hong Kong

1991.9 – 1996.8, Lecturer, Department of Statistics, The Chinese University of Hong Kong

 

Educational background:

Sociology: BA (Concordia 84); MA (Georgia 87)

Statistics: MS (Georgia 87); PhD (Temple 91)

Research

Multiple comparisons, Clinical trial, Adaptive design


Teaching

MA329 Statistical linear models


Publications Read More

·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.

News More

  • 统计与数据科学系本科生导师见面会成功举行

    2019-09-09
  • SUSTech Launches New Dept of Statistics and Data Science

    2019-08-21

Lab members Read More

Join us

The Department of Statistics and Data Science was established in April 2019. As a newly established department, we currently have 8 faculty members including 1 Chair Professor, 2 Professors, 2 Associate Professors , 2 Tenure-track Assistant Professors and 1 Visiting Assistant Professor and anticipant to rapidly expand to a team of more than 20 members. All faculty members of the department have extensive overseas study or work experiences. One member is an invited speaker at the International Congress of Mathematicians, an IMS Medallion Lecturer and a winner of the prestigious State Natural Science Award (2nd class). The department has 2 research directions, Statistics and Data Science, which cover a broad array of research areas including Biostatistics, Financial Statistics, Experiment Design, Clinical Trials, High Dimensional Data, Time series, Probability Theory, Data Science and Big Data Technology.

 

At present, the department has an undergraduate program as well as two graduate programs(M.Phil and PhD). The department is in the process of developing a Major Program in Data Science and Big Data Technology. In 2019, the first batch of 38 undergraduate students in Statistics received the bachelor degree from SUSTech. 5 M.Phil students in Statistics also graduated in the same year. There are currently 9 M.Phil students, 7 PhD students in Statistics and 2 Postdoctoral Fellows. As the department grows in size and strength, the number of graduate students is expected to rise substantially from the current level and the areas of graduate studies will also expand to include Data Science and Big Data Technology.

 

This is the age of big data which offers exciting opportunities to researchers in Statistics and Data Science. Our department is expected to grow rapidly in the coming years. We invite outstanding scholars to join us in our journey to become a first-class department in Statistics and Data Science. We also welcome brilliant undergraduate and graduate students to apply for our programs. At the same time, we actively recruit excellent postdoctoral candidates.

 

The Department of Statistics and Data Science: https://stat-ds.sustech.edu.cn/

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Contact Us

Contact Address

Room 401, Innovation Park 8#

Office Phone

0755-88015670

Email

zhangsh@sustech.edu.cn

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