Research Departments & Organizations
High Performance Computation
Professor Zhang and members in his center conduct research in both the general area of regression and classification analyses and the methodologies for post-genome data analyses. In particular, with funding from multiple National Institutes of Health (NIH) grants, his group has been developing and implementing flexible and powerful approaches to the analyses of complex data including longitudinal data with multi- dimensional responses, neuroimaging data, genetic and genomic data. Zhang also has made major research efforts in: (a) child health ranging from the identification of neurological and genetic pathways in developing brain to the assessment of risk factors for pregnancy outcomes and to the understanding of cognitive and behavioral development in children; and (b) substance use, especially in understanding the transition from use to abuse. In addition, Dr. Zhang serves as Principal Investigator of the data coordination and statistics center for the National Genomic and Proteomic Network for Preterm Birth Research and Reproductive Medicine Network.
Specialized Terms: Biostatistics; Genomics; Epidemiology; Psychiatry; Pregnancy; Infertility; Substance Use; Bioinformatics
Extensive Research Description
- Analysis of Genomic Data for Complex Traits
- Research Training in Mental Health Epidemiology
- Data Management, Statistics, and Informatics Core
- Data Coordination Center for Reproductive Medicine
Analysis of High Throughput Data Guangzhou, China (2013 - 2016)
This project is funded by National Science Foundation of China for China-Oversea collaboration. We will develop statistical methods to analyze high throughput data for complex diseases.
Research and Program Development in Statistics Guangzhou, China (2013 - 2016)
This activities were supported through a short-term 1000-plan. It was to strengthen the statistics program at Sun Yat-Sen University.
Live Birth After Fresh Embryo Transfer Vs Frozen-thawed Embryo Transfer in Women With Polycystic Ovary Syndrome (FreFro-PCOS) Jinan, China (2012 - 2014)
From http://Clinicaltrials.gov: Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women of childbearing age. However, the optimal infertility treatment for PCOS patients is still a matter of controversy. Despite producing more follicles and more oocytes than other...
Effect of Acupuncture and Clomiphene Citrate on Live Birth in Anovulatory Women with Polycystic Ovary Syndrome: a Randomized Controlled Trial Harbin, China (2011 - 2014)
This is a 2x2 factorial, double-blind, randomized trial to evaluate the effectiveness of acupuncture to increase live birth rate in PCOS women in China.
Statistics, Genomics, and Medicine Guangzhou, China (2009 - 2012)
Generalized Score Test of Homogeneity for Mixed Effects Models
Zhang, H.P. and Zhu, H.T. Generalized Score Test of Homogeneity for Mixed Effects Models. Annals of Statistics 34: 1545-1569, 2006. 2006
Detection of genes for ordinal traits in nuclear families and a unified approach for association studies.
Zhang H, Wang X, Ye Y. Detection of genes for ordinal traits in nuclear families and a unified approach for association studies. Genetics 2006, 172:693-9. 2006
Linkage analysis of ordinal traits for pedigree data.
Feng R, Leckman JF, Zhang H. Linkage analysis of ordinal traits for pedigree data. Proceedings Of The National Academy Of Sciences Of The United States Of America 2004, 101:16739-44. 2004
Genomewide scan of hoarding in sib pairs in which both sibs have Gilles de la Tourette syndrome.
Zhang H, Leckman JF, Pauls DL, Tsai CP, Kidd KK, Campos MR. Genomewide scan of hoarding in sib pairs in which both sibs have Gilles de la Tourette syndrome. American Journal Of Human Genetics 2002, 70:896-904. 2002
Tree-based linkage and association analyses of asthma.
Zhang H, Tsai CP, Yu CY, Bonney G. Tree-based linkage and association analyses of asthma. Genetic Epidemiology 2001, 21 Suppl 1:S317-22. 2001
Recursive partitioning for tumor classification with gene expression microarray data.
Zhang H, Yu CY, Singer B, Xiong M. Recursive partitioning for tumor classification with gene expression microarray data. Proceedings Of The National Academy Of Sciences Of The United States Of America 2001, 98:6730-5. 2001
Classification Trees for Multiple Binary Responses
Zhang, H.P. Classification Trees for Multiple Binary Responses. Journal of the American Statistical Association 93: 180-193, 1998. 1998