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Methods Workshop: Mei-Ling Ting Lee, Epidemiology and Biostatistics

Threshold Regressions Model with Applications in Latent Fetal Development
When Apr 08, 2016
from 10:00 AM to 12:00 PM
Where 1101 Morrill Hall
Contact Name
Contact Phone 301-405-6403
Attendees Jun Chen
Yunjiang Ge
Emilia Guevara
Kiminori Nakamura
Beatrice Pan
Tom Scott
Takumi Seagusa
Zoe Wasserman
Kester Williams
Yeats Ye
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About the Workshop

Threshold regression (TR) is an alternative model for analyzing time-to-event data. It does not require the proportional hazards assumption and hence is more flexible in applications. On the basis of a sample of US life birth data from NCHS, we model latent fetal development using threshold regression and construct a normalcy and discrepancy index for birth weight and gestation age. We plot the birthing threshold for healthy births and premature births. 

About the Speaker

Dr. Mei-Ling Ting Lee is Professor of Epidemiology and Biostatistics and Director of the Biostatistics and Risk Assessment Center (BRAC) at the University of Maryland, College Park. Dr. Lee has a broad background in statistical and applied probability applications in cancer, epidemiology, the environment, and other medical areas. She has many years of experience in analyzing large scale high-dimensional data sets drawn from genomics and proteomics. Dr. Lee's current research is focused on the following areas: (a) Threshold Regression Models for Risk Assessments with Applications in Cancer, Environmental Research, and Occupational Exposure; (b) Statistical Methods for Genomic and Proteomic Data; (c) Rank-based Nonparametric Tests for Correlated Data with Applications in Epidemiology and Genomics; (d) Statistical Applications in Microbiology and Pharmacokinetics; (e) Multivariate Distributional Theory and Applications.

Visit Professor Lee's webpage


Please note that, at the present time, Morrill Hall is not accessible for handicapped individuals.

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