Chen Zehua

Professor of Statistics
Department of Statistics and Applied Probability
National University of Singapore
3 Science Drive 2, Singapore 117543
Republic of Singapore

stachenz@nus.edu.sg

(65) 6516-6307 (office)
(65) 6569-5659 (home)
(65) 6872-3919 (fax)

Education

  • B.S., Wuhan Univ. (1981)
  • M.S., Univ. of Iowa (1985)
  • Ph.D., Univ. of Wisconsin-Madison (1989)

Current interests

  • Model selection criteria.
  • Feature selection with high dimensional space.
  • Statistical genetics.

Publications

         Publication List  

Recent Preprints

    • A feature selection approach to case-control genome-wide association studies. (Full text)
    • Extended BIC for small-$n$-large-$P$ sparse GLM. (Full text)

 

Monograph

Ranked Set Sampling: Theory and Applications

Z. Chen,   Z. D. Bai and B. K. Sinha

Springer ©2004

                        Preface (PDF file)

                  Table of contents (PDF file)

 

Software

The package migtlm:   Multiple interval genetic trait loci mapping

       Source code: migtlm.R

       Instruction:    How to use?

       Reference:    Mixture Generalized Linear Models for Multiple Interval Mapping of Quantitative Trait Loci in Experimental Crosses

 

Teaching Corner

ST5212: Survival Analysis (2008/2009 Semester II)

                           Course Information

                            How to use R to do survival analysis


                            Lecture Notes 1: Special Features of Survival data: Censoring and Truncation

                                 Tutorial 1    Solution  

                            Lecture Notes 2: Basic Quantities and Models

                                 Tutorial 2   Solution  

                            Lecture Notes 3.1: Nonparametric Estimation of Basic Quantities for Right-censored

                                                          and Left-truncated Data (I)     

                            Lecture Notes 3.2: Nonparametric Estimation of Basic Quantities for Right-censored

                                                          and Left-truncated Data (II)     

                                 Tutorial 3   Data sets: (I) HIV aids data    (II) Lung cancer data  (III) Tongue cancer data        

                                                   R codes for Tutorial 3     

                                 Tutorial 4    Some R functions    Statistical Tables  

                                                   Data sets: (I) Bone Marrow Transplantation    (II) Leukemia Cancer

                                                    R codes for Tutorial 4

                            Lecture Notes 4:  Comparison of Survival Curves: Hypotheses Testing 

                                 Tutorial 5    R codes for Tutorial 5

                                 Tutorial 6    Data set:  (I) Larynx Cancer    (II) Kidney Transplant

                                                   R codes for Tutorial 6

                                 Midterm Exam Solution

                            Lecture Notes 5:  Proportional Hazard Regression   (I) 

                            Lecture Notes 5: Supplementary R codes

                                 Tutorial 7    Data set:  hodg.txt    hodg.pdf

                                                   R codes for Tutorial 7

                            Lecture Notes 6:  Proportional Hazard Regression   (II) 

                            Lecture Notes 6: Supplementary R codes   Data set:  Channing House

                                 Tutorial 8    R codes for Tutorial 8

                            Lecture Notes 7:   Model Building and Diagnostics with Proportional Hazard Models.

                            Lecture Notes 7: Supplementary R codes   Data set:  Autologous and Allogeneic BMT for acute leukemia

                                Tutorial 9    R codes for Tutorial 9

                            Lecture Notes 8:   Parametric models in survival analysis.

                            Lecture Notes 8: Supplementary R codes

                                Tutorial 10  R codes and solution for Tutorial 10

  

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Chen Zehua <stachenz@nus.edu.sg>