Professor, Epidemiology and Biostatistics
Affiliated Faculty, Applied Mathematics & Statistics, and Scientific Computation (AMSC) Program, Mathematics Department; Affiliated Faculty, Center for Health Information and Decision Systems (CHIDS), Robert H. Smith School of Business
Other Affiliations: Applied Environmental Health (MIAEH), Biostatistics Risk Assessment Center, UMD Prevention Research Center
Campus: UMD | Building: School of Public Health, Building 255 | Room: 2234R
Phone: 301-405-4581 |
Website: 
Biostatistics & Risk Assessment Center
Office Hours: 

1pm to 2pm on Wednesdays during the Fall Semester in 2016.

Biography

Dr. Mei-Ling Ting Lee is Professor in the Department of Epidemiology and Biostatistics and Director of the Biostatistics and Risk Assessment Center (BRAC) at the University of Maryland, College Park. With over 35 years of experience, Dr. Lee has a broad background in statistical and applied probability modelling with applications to aging studies, cancer, child birth, epidemiology, microbiology, genomics, and other biomedical areas. Dr. Lee's current research includes the following areas: (a) Threshold Regression Models for Risk Assessments: with applications in lung cancer, osteoporotic fractures, pre-term delivery, and modeling return-to-work after traumatic injury; (b) Statistical Methods for Genomic and Proteomic Data: with application in cancer; (c) Rank-based Nonparametric Tests for Correlated Data: with applications in epidemiology; (d) Multivariate Distributional Theory: with applications in marketing research and multivariate meta-analysis for diagnostic test accuracy; (e) Statistical methods in Patient Outcome Research: with applications to data from the Centers for Medicare and Medicaid Services (CMS).

Dr. Lee has many years of experience in analyzing large scale high-dimensional data sets drawn from genomics and proteomics. Her single-authored monograph titled "Analysis of Microarray Gene Expression Data" published in 2004 has been widely used as a reference/textbook for genomic research. The book includes sample size and power calculations for microarray studies and several chapters on machine learning bioinformatics methods. The power calculation program is available online on Dr. Lee’s research website and has been used by many researchers in the world.

Dr. Lee is the founding editor and editor-in-chief of the international journal Lifetime Data Analysis, the only international statistical journal that is specialized in modeling time-to-event data. The journal is currently publishing the twenty-second volume. Dr. Lee has also co-edited three other books: Lifetime Data Models in Reliability and Survival Analysis (1995); Measurement and Statistical Analysis for Quality of Lifetime Data (2002); Risk Assessment and Evaluation of Prediction (2013).

Please visit Dr. Lee's research webpages for  publications and access to computer software packages.

Education and Training

Education and training:

       B.S.     National Taiwan University (Mathematics)

       M.S.     National Tsing Hua University (Mathematics)

       M.A.     University of Pittsburgh (Mathematics)

       Ph.D.   University of Pittsburgh (Mathematics/Statistics)

Courses

EPIB 653: Applied Survival Data Analysis (Syllabus)

EPIB 788: Critical Readings (Syllabus)

Honors and Awards

1995    Elected Member, International Statistical Institute, the Netherlands

1998    Elected Fellow, Royal Statistical Society, United Kingdom

1999    Elected Fellow, American Statistical Association, USA

2005    Elected Fellow, Institute of Mathematical Statistics, USA

2005    Mosteller Statistician of the Year, American Statistical Association, Boston chapter

2014    Service Award: Cellular Tissue & Gene Therapy Advisory Committee, US Food & Drug Administration

2016    President, International Chinese Statistical Association