Mei-Ling Ting Lee

Home People Mei-Ling Ting Lee

Mei-Ling Ting Lee

Professor, Biostatistics

SPH | Room 2234R

Dr. Mei-Ling Ting Lee is a Professor in the Department of Epidemiology & Biostatistics at the University of Maryland, College Park. She developed a statistical model called the first hitting-time based threshold regression (TR) for analyzing time-to-event survival data. The first hitting-time TR model has been extended to machine learning neural networks for AI applications. Dr. Lee is the Founding Editor and Editor-in-Chief of the international journal, Lifetime Data Analysis, the only journal with an emphasis on methods for analyzing time-to-event data. The journal is currently publishing the 30th volume. Dr. Lee has published more than 150 articles including bioinformatic methods for high-dimensional genomic data. She published a single-authored monograph titled “Analysis of Microarray Gene Expression Data” in 2004. Dr. Lee also co-edited three other books.

Department Information

Department of Epidemiology and Biostatistics

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).

Models for time-to-event data; Analysis of genomic data; Statistical distributional theory and applications; Nonparametric methods; Statistical applications in epidemiology and medical research.

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

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

BS, Mathematics

National Taiwan University

MS, Mathematics

National Tsing Hua University

MA, Mathematics

University of Pittsburgh

PhD, Mathematics/Statistics

University of Pittsburgh

Click the Google Scholar link for a complete list of Dr. Lee’s publications.

Listed below are select articles from the past five years.

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
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
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