Update: Sep. 01, 2006        

Yi-Kuan Tseng Assistant Professor Gragduate Institute of Statistics National Central University, Taiwan

 

 

 

Yi-Kuan Tseng Assistant Professor Gragduate Institute of Statistics National Central University, Taiwan

E-mail: tsengyk@ncu.edu.tw

Old homepage link here

 

Tzu-Ling Wang

           

  
 

Degrees:

 

          Ph.D. in Statistics     University of California, Davis     2005    

          M.S.  in Statistics     University of California, Davis     2002

          M.S.  in Statistics     National Sun Yat-sen University     1994

          B.E.  in Math Ed.     National Taipei Teachers College    1992

 

Current Research Interests:

  • Joint model approaches for survival and longitudinal data.

  • Method of sieves on semi-parametric models.

  • General class of survival models.

  • AIDS research.

 

Teaching Activities:

      Mathematical Statistics I      2005 Fall

      Survival Analysis I            2005 Fall

      Mathematical Statistics II     2006 Spring

      Survival Analysis II           2006 Spring

 

 

Publications:

-Thesis:

 

(1994) Forecast problems of nonlinear time series models, NSYSU, Master thesis.

(2005) Joint modelling of time-to-event and longitudinal data, UC-Davis, Ph.D. dissertation. (PDF)

 

-Refereed Papers:

 

New ●  Tseng, Y. K., Hsieh, Y. H. (2006). A Joint Model Approach for Evaluating the Efficacy of HAART Treatment for AIDS patients in Taiwan. Submitted. (PDF)

New ● Hsieh, F., Tseng, Y. K. and Wang, J. L.(2006). Joint Modelling of Survival Time and Longitudinal Data: Likelihood Base  Approach  Revisit. Biometrics. 62, pp.1037-1043 (PDF)

 

         ● Carey, J., Papadopoulos, N., Kouloussis, N., Katsoyannos, B., Mueller, H.G., Wang, J. L. and Tseng, Y. K.(2006). Age-specific and lifetime behavior patterns in Drosophila melanogaster and Mediterranean fruit  fly, Ceratitis capitata. Experimental Gerontology,  41, pp.93-97. (PDF)

 

         ● Tseng, Y.K., Hsieh, F. and Wang, J. L.(2005). Joint Modelling of Accelerated Failure Time and Longitudinal Data. Biometrika, 92, pp.587-603. (PDF)

    

           ● Guo, M. H. and Tseng,Y. K. (1997). A comparison between Linear and Nonlinear Forecasts   for Nonlinear AR Models. Journal of Forecasting, 16, pp.491-508. (PDF)

 

-Conference Papers:

 

           ● WNAR/IMS 2005 Invited paper. Joint Modelling of Accelerated Failure Time and Longitudinal Data.(PDF)

 

-Invited Talk:

       Joint Modelling of Accelerated Failure Time and Longitudinal Data.(PPT file)