Biostatistics

Section: Biostatistics

Antai Wang, PhD
Assistant Professor

Contact Information
Room 180, Building D
NetID: aw94
Telephone: (202) 687-0819

Affiliations

Lombardi Comprehensive Cancer Center
Biostatistics and Bioinformatics Shared Resource
• Microarray Group

Bio

Dr. Wang completed his PhD degree in Statistics at the University of Rochester in August, 2002 and received an MA in Mathematics and Statistics from York University, Canada in 1997. He joined the Lombardi's Biostatistics & Bioinformatics Shared Resource in September, 2002 and is working on research projects in basic science, clinical trials, and population science. While at the University of Rochester, he worked closely with faculty members in biostatistics and medical research investigators in various fields including microarray expression profiling, Parkinson's disease, and limb sparing treatments.

Research Interests

  • Design and analysis of cancer research projects
  • Survival data analysis and frailty models
  • Analysis of microarray data
  • Design and analysis of Phase I, II, and III clinical trials

Publications

  1. David Oakes, Antai Wang and Changyong Feng (2000) The correlated frailty model for multiple event-times. Technical Report University of Rochester, Department of Biostatistics.
  2. David Oakes and Antai Wang (2001) On Frailty models for bivariate survival data. Applied stochastic models and data analysis, Vol 2, 795-800.
  3. Parkinson Study Group (Antai Wang, Biostatistician) (2002) Genome Screen to Identify Susceptibility Genes for Parkinson Disease in a Sample without parkin Mutations. Am J Hum Genet. 71 (1): 124–135.
  4. David Oakes and Antai Wang (2003) A copula model generated by Dabrowska’s association measure. Biometrika, 90, 478-481.
  5. Parkinson Study Group (Antai Wang, Biostatistician) (2003) Reliability of Reported age at onset for Parkinson’s disease. Movement disorders,18, 3, 275-279.
  6. Parkinson Study Group (Antai Wang, Biostatistician) (2003) Genome-wide linkage analysis and evidence of gene-by-gene interactions in a sample of 362 multiplex Parkinson disease families. Human Molecular Genetics,12, 20, 2599-2608.
  7. Parkinson Study Group (Antai Wang, Biostatistician) (2003) Significant linkage of Parkinson’s disease to chromosome 2q36-37. m.J.Hum.Genet. 72, 1053-1057.
  8. Parkinson Study Group (Antai Wang, Biostatistician) (2003) Heterozygosity for a mutation in the parkin gene leads to later onset Parkinson disease. Neurology, 60:796-801.
  9. Antai Wang and Edmund A Gehan (2005) Gene selection for microarray classification using principal component analysis. Statistics in Medicine , 24, 2069-2087.
  10. Parkinson Study Group (Antai Wang, Biostatistician) (2004) Genes influencing Parkinson disease onset. Neurology, 62, 1616-1618. 12).
  11. Parkinson Study Group (Antai Wang, Biostatistician) (2004) Evaluation of the role of Nurr1 in a large sample of familial Parkinson's disease, Movement disorders, 19, 6, 649-655
  12. Ekatherine Asatiani, Wen-Xin Huang, Antai Wang, Bassem Haddad, Elizabeth Rodriguez and Edward P. Gelmann (2005) “Reduced homeoprotein NKX3.1 expression in primary prostate cancer and intraepithelial neoplasia.’’ Cancer Research , 65, 4, 1164-1173.
  13. Kerrie B Bouker, Todd C. Skaar, David S. Harburger, Rebecca B. Riggins, David R. Fernandez, Alan Zwart, Antai Wang and Robert Clarke (2005) Tumor Suppressor Activities of Interferon Regulatory Factor-1 in Human Breast Cancer Cells. Accepted by Carcinogenesis.
  14. Yuelin Zhu, Baljit Singh, Stephen Hewitt, Aiyi Liu, Bianca Gomez, Antai Wang and Robert Clarke (2005) Expression Patterns among Proteins Associated with Endocrine Responsiveness in Breast Cancer:interferon regulatory factor-1, human X-box binding protein-1, nuclear factor kappa B, nucleophosmin, estrogen receptor-alpha, and progesterone receptor. Accepted by International Journal of Oncology.
  15. Yuelin Zhu, Antai Wang, Minetta C. Liu, Alan Zwart, Richard Y. Lee, Ann Gallagher, Yue Wang, William R. Miller, J. Michael Dixon, and Robert Clarke (2006) Estrogen receptor alpha positive breast tumors and breast cancer cell lines share similarities in their transcriptone data structures. International Journal of Oncology, 29: 1581-1589, 2006.