Mei-Ling Ting Lee
Dr. Lee is a Professor in the Department of Epidemiology & Biostatistics. Dr. Lee has a broad range of interests and many years of experience in medical and public health applications. She developed statistical models for analysis of time-to-event data with applications in many areas. Dr. Lee also contributed to genomic data analysis and nonparametric rank tests for clustered or correlated data.
Departments/Units
Areas of Interest
Core FacultyModels for time-to-event data; Analysis of genomic data; Statistical distributional theory and applications; Nonparametric methods; Statistical applications in epidemiology and medical research.
Dr. Lee has many years of experience in analyzing large-scale high-dimensional genomic data. 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 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 thirtieth 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
Click the Google Scholar link for a complete list of Dr. Lee’s publications.
Listed below are select articles from the past five years.
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Lee M-LT, G. A. Whitmore (2023). Semiparametric predictive inference for failure data using first-hitting-time threshold regression, Lifetime Data Analysis, 29: 508-536. https://doi.org/10.1007/s10985-022-09583-3
- Bay C, Glynn RJ, Seddon JM, Lee M-LT, Rosner B (2023). Evaluation of Risk Prediction with Hierarchical Data: Dependency Adjusted Confidence Intervals for the AUC. Stats 2023, 6, 526–538. https://doi.org/10.3390/stats6020034
- Chen Y, Smith PJ, Lee, M-LT. (2023). Causal Inference in Threshold Regression and the Neural Network Extension (TRNN). Stats 2023, 6, 552–575. https://doi.org/10.3390/stats6020036
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Rosner BA, Bay C, Glynn RJ, Ying G, Maguire MG, Lee M-LT (2023). Estimation and testing for clustered interval-censored bivariate survival data with application using the semi-parametric version of the Clayton–Oakes model. Lifetime Data Analysis, 29: 854-887. https://doi.org/10.1007/s10985-022-09588-y
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Chen Y, Lawrence J, Lee M-LT. (2022). Group sequential design for randomized trials using “first hitting time” model. Statistics in Medicine, V41, issue 13: 2375-2402. https://doi:10.1002/sim.9360