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Mei-Ling Ting Lee

Mei-Ling Ting Lee

Professor, Epidemiology and Biostatistics

Dr. Mei-Ling Ting Lee is a 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 modeling with applications to aging studies, cancer, childbirth, 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).

Contact

mltlee@umd.edu

SPH | Room 2234R

(301) 405-4581

Areas of Interest

Lifetime data analysis; Big data analysis; Statistical applications in epidemiology and medical research.

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).

BS, Mathematics

National Taiwan University

MS, Mathematics

National Tsing Hua University

MA, Mathematics

University of Pittsburgh 

PhD, Mathematics/Statistics

University of Pittsburgh 

EPIB651 Applied Regression Analysis

EPIB653 Applied Survival Data Analysis 

EPIB654 Introduction to Clinical Trials

EPIB785 Internship in Public Health

EPIB788 Critical Readings 

EPIB789 Independent Study

Elected Member, International Statistical Institute, the Netherlands, 1995    

Elected Fellow, Royal Statistical Society, United Kingdom, 1998    

Elected Fellow, American Statistical Association, USA, 1999    

Elected Fellow, Institute of Mathematical Statistics, USA, 2005    

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

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

President, International Chinese Statistical Association, 2016    

Alumni Award, College of Science, National Tsing Hua University, 2018, Hsinchu, Taiwan, ROC

Service Award 2020: Lifetime Data Science Section, American Statistical Association