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photo Paul Hsu Ph.D.
Assistant Professor
1295 N. Martin A232
Campus POB: 245211
Tucson, AZ 85724

(520) 626-5054
phsu@azcc.arizona.edu
Research Interests:
Survival Analysis, Missing Data and Modeling Cancer Data



Education:

2003 PhD, Biostatistics, School of Public Health, University of Michigan

2000 MS, Biostatistics, School of Public Health, University of Michigan, Ann Arbor

Publications:

C.-H. Hsu and J. M. G. Taylor. Nonparametric Comparison of Two Survival Distributions with Dependent Censoring via Nonparametric Multiple Imputation. Statistics in Medicine (in press).

W.-C. Tung, S. Farmer, K. Ding, W.-K. Tung and C.-H. Hsu. Stages of Condom Use and Decisional Balance among College Students. International Nursing Review (in press).
 C.-H. Hsu, J. M. G. Taylor, Q. Long and D. S. Alberts. Analysis of Colorectal Adenoma Recurrence Data Subject to Informative Censoring. Cancer Epidemiology, Biomarkers & Prevention (in press).

W.-C. Tung, C.-H. Hsu and Y.-S. Lin. An Examination of the Trans-theoretical Model and Physical Activity in Chinese Americans. Journal of Transcultural Nursing (in press).
C.-H. Hsu, S. B. Green, and Y. He. 2007. A Weighted Logistic Regression Model for Estimation of Recurrence of Adenomas. Statistics in Medicine 26: 1567-1578.

Languages Spoken:

Chinese, English

Biography:

Chiu-Hsieh (Paul) Hsu, PhD, is an assistant professor at The University of Arizona Mel and Enid Zuckerman College of Public Health in the Epidemiology and Biostatistics Department. His research interests are two-fold. One focuses on developing new statistical methods to analyze survival data subject to informative censoring. The other focuses on proposing novel statistical models for recurrent adenoma data from colorectal polyp prevention trials.

As a co-investigator for the Colon Cancer Program Project: Biometry Core, Dr. Hsu is responsible for biostatistical activities within the program project. In addition, while analyzing the polyp data from a colorectal adenoma prevention trial, he is developing new statistical methodology that takes into consideration the features of the trial (e.g. misclassification on recurrence status and variable follow-up). The major goals of the program are to identify new preventive agents to prevent recurrence of colorectal adenomas and, furthermore, to reduce the morbidity and mortality rate caused by colorectal cancer.

Dr. Hsu graduated with a Master of Science in Statistics from National Tsing Hua University in Hsinchu, Taiwan. His interest in applying statistics to biomedical fields led Dr. Hsu to continue his studies at the University of Michigan, where he received his MS and PhD in Biostatistics. He has taught at the University of Arizona since 2005.