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Dr Yan Wang

Position: Adjunct Lecturer Dr Yan Wang
Division/Portfolio: Division of Health Sciences
School/Unit: Health Sciences Divisional Office
Campus: City East Campus
Office:
Telephone:
Fax:
Email: Yan_dot_Wang_at_unisa_dot_edu_dot_au
URL for Business Card: http://people.unisa.edu.au/Yan.Wang


Yan Wang joined UniSA after getting her PhD degree in Statistics. She has been teaching service courses for Business, Engineering and Chemistry divisions. Her research interests focus on the population abundance estimation in Biology, Environmental, Engineering and Medical areas. She works as a member of the Statistical Consulting and Research Services, which provides general statistical consultation for students and staffs within and beyond UniSA.



www.hku.hk

www.tju.edu.cn


Teaching interests

  • Elementary statistics: statistics in business, engineering, and chemistry (chemometrics).
  • Statistical inference, mathematical statistics
  • biostatistics, survival analysis

I teach the following courses

MATH 1029Statistical Analysis in Business
MATH 1040Statistics for Laboratory Sciences 101
MATH 2020Statistical Foundations
MATH 1053Quantitative Methods for Business
MATH 5040Statistical Foundations M


Professional associations

Member of International Biometric Society

Australian and New Zealand Statistical Association

Elected member of the International Statistical Institute


Qualifications

PhD (HKU),ME, BE (TJU,China)


Research interests

  • Capture-recapture studies :capture-recapture method is a commonly used method in population abundance estimation. It has got wide applications in fisheries, biology, engineering and epidemic studies. My research incorporate the couting process into the traditional capture-recapture studies. The areas cover the parametric, semiparametric and nonparametric models.
  • Statistical models in public health, which includes logistic regression, loglinear model, Cox regression model, Generalized Additive Model and linear mixed model etc.
  • Poisson process.

Research publications

Wang, Y., Thandrayen J. (in press). Multiple-record systems estimation using latent class Models. Australian & New Zealand Journal of Statistics.

D’Onise K., Wang. Y, and McDermott R (2007). Counting the undercounted: Enumeration of primary homeless in Adelaide using capture-recapture. Australian Journal of Primary Health, 13 (1), 298—204

Wang, Y.(2005) Semi-parametric regression models with missing covariates in continuous time captureˇVrecapture studies. Australian and NewZealand Journal of statistics, 47, 287--297.

Wang, Y. and Yip, P.S.F. (2003). A semiparametric model for recapture experiments. Scandinavian Journal of Statistics 30, 667-676.

Fang, X., Waston, R., Wang, Y. and Yip, P.S.F. (2003). A Procedure for Complete Fault Detection with a Removal Process, Journal of Statistical Inference and Planning 117, 1-14.

Yip, P.S.F., Fang, X., Zhou, Y. and Wang, Y. (2003). A Sequential Procedure for Fixed Accuracy Estimation of the Population Size in Recapture Sampling, Australian & New Zealand Journal of Statistics 45, 217-228.

Wang, Y., Yip, P.S. F., and Hayakawa, Y. (2002). A Frailty Model for Detecting Number of Faults in a System, Statistica Sinica 12, 1001-1013.

Wang, Y. and Yip, P.S.F.(2002). Extension of Lin-Yip Parametric Regression Models for Continuous-time Removal and Recapture Studies, Journal of Agricultural and Biological Statistics 7, 574-585.

Yip,P.S.F. and Wang, Y.(2002). A Unified Parametric Regression Models for Continuous-time Removal and Recapture Studies, Biometrics 58, 192--199.

Wang, Y. and Yip, P.S.F.(2002). Estimation of Population Size for Additive-Multiplicative Models Based on Continuous-Time Recapture Experiments, Environmetrics 13, 847-857.

Yip, P.S.F, Wang, Y. and Chao, A. (2003). The Application of Capture-recapture Methods in Reliability, Reliability Engineering Handbook, Springer.


Community Service

Organisation Name:   Chinese Professional Society of South Australia
Level of involvement:   Member


Research Degree Supervisor

My research focuses on statistical inference of capture-recapture experiments using counting processes. The capture-recapture experiment is a sampling method used to estimate population abundance, and has been applied to wildlife biology, epidemiology, public health and software reliability. My research interest also covers survivial analysis in public health, GAMs in environmental health, and statistical methodology using counting processes.

I am keen to work with students who are passionate with research in biostatistics and applied statistics.






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