Assistant Engineer

Weiming Ke

Ph.D. in Applied Statistics

WEIMING KE Assistant Professor of Biostatistics Department of Mathematics and Statistics South Dakota State University E-mail: ***@*******.***

PhD in Applied Statistics (GPA: 4.0/4.0)

University of Memphis, Memphis, TN(2002)

Master of Science in Statistics (GPA: 4.0/4.0)

BeijingUniversity of Aeronautics and Astronautics, Beijing, China(1986)

Bachelor of Engineering in Solid Mechanics Professional Experience University of Memphis, Dept. of Mathematical Sciences, Memphis, TN (9/2004 - 8/2005)

Teaching Assistant, Tutored studentsonstatistics courses.

Biostatistics Department, St. Jude Children s Research Hospital, Memphis, TN (9/2002 - 9/2004)

Biostatistician, Conduct collaborative research on statistical analysis

including: study design; sample size determination; data management;

descriptive analysis; making graphics using SAS or S-plus; statistical

analysis such as survival analysis, categorical data analysis,

non-parametric analysis, multivariate analysis, regression analysis,

mixed models, analysis of variance, and exact tests;

interpretation of esults and preparation of manuscripts.

Dept. of Mathematical Sciences, University of Memphis, Memphis, TN(2000-2002)

Research Assistant, Studied two-level fractional factorial designs and

compromise designs, and a minimum aberration criterion for selecting best

designs; studied state-space models and their applications in survival analysis. Dept. of Aircraft Design, Harbin Aircraft Manufacturing Corporation, Harbin, China (1986-2000)

Engineer, Performed strength analysis and design for the aircraft

structures and components.

Publications

Weiming Ke and Boxin Tang (2003),

Selecting 2m-p Designs Using a Minimum Aberration Criterion When

Some Two-Factor Interactions Are Important,

Technometrics, November 2003, Volume 45, Number 4.

Weiming Ke, Boxin Tang, and Huaiqing Wu (2005),

Compromise Designs with Clear Two-factor Interactions,

Statistica Sinica, Volume 15, Number 3, July 2005.

Weiming Ke, Boxin Tang, and Huaiqing Wu (2003),

Some Results on Clear Compromise Designs and Their Applications,

Proceedings of the Section on Physical and Engineering Sciences,

American Statistical Association, 2003.

Wai-yuan Tan and Weiming Ke (2004),

State-Space Models for Survival Analysis,

Handbook of Statistics: Volume 23 (Advances in Survival Analysis )

Editors: C. R. Rao And N. Balakrishnan. 2004 Elsevier B.V. 519-535

Alberto Broniscer, Weiming Ke, Christine E. Fuller, Jianrong Wu, Amar

Gajjar, Larry E. Kun (2004),

Second Neoplasm in Pediatric Patients with Primary Central Nervous

System Tumors,

Cancer, Volume 100, Issue 10, May 2004, Pages 2246-2252.

Scott C. Howard, et al, Weiming Ke, et al (2003),

Urolithiasis in Pediatric Patients With Acute Lymphoblastic Leukemia,

Leukemia (2003) 17, 541-546

Mary E. Hensley, Weiming Ke, Randall T. Hayden, Rupert

Handgretinger, Jonathan A. McCullers (2004),

Levels of Total Fungus and Aspergillus on a Pediatric Hematopoietic

Stem Cell Transplant Unit,

Journal of Pediatric Oncology Nursing, Vol. 21, No. 2, 2004; 67-78.

Ruth Williams, Pamela S. Hinds, Weiming Ke, X. Joan Hu (2004),

A Comparison of Calorie and Protein Intake in Hospitalized Pediatric

Oncology Patients Dining with a Caregiver versus Patients Dining Alone:

A Randomized, Prospective Clinical Trial,

Journal of Pediatric Oncology Nursing,

Vol. 21, No. 4, 2004; pp 223-232.

Wai-Yuan Tan and Weiming Ke, A State Space Model for Stochastic

Gompertz Growth of Cancer Tumors (in preparation)

Wai-Yuan Tan and Weiming Ke, A State Space Model for Tumor

Growth under Treatment (in preparation)

Weiming Ke (2005 ),

Review of the book The Optimal Design of Blocked and Split-Plot

Experiments by Peter Goos,

Technometrics, February 2005, Volume 47, Number 1

Presentations

Some Results on Clear Compromise Designs and Their Applications

at Spring Research Conference on Statistics, organized by ASA,

in Dayton, OH, 2003.

State-Space Models for Survival Analysis

at Kendle International Inc. in Cincinnati, OH, 2004.

A State-Space Model for Gompertz Growth of Cancer Tumors

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