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- International Conference: Financial Stability and Energy Security in the Americas and Europe12:00 pm
- Bioinformatics Faculty Search Seminar12:45 pm
- rivate Networks and Public Authorities in Financial (In)Stability1:00 pm
- Seminar: Transdisciplinary Research Paradigms in Neurodegenerative Disease3:30 pm
- Unintelligent Design: The Scars of Human Evolution3:30 pm
- Matthew Reimherr - Department of Statistics, University of Chicago4:00 pm
Matthew Reimherr - Department of Statistics, University of Chicago
Title: Association studies with functional phenotypes. Abstract: In this talk I will discuss the application of functional data methods, FDA, to genome wide association studies with longitudinal response variables. Such data can be difficult to analyze due to the heterogeneity of the observations; subjects may evolve in intricate ways as they age or are administered various treatments. An FDA framework allows for very flexible models, while still exploiting the temporal structure of the data in powerful ways. However, such methods must be applied with care as subjects are often observed at a relatively small number of common time points, while most FDA methods are intended for high frequency data or sparse data whose pooled time points are dense in the time domain. After introducing the FDA perspective and some basic methodology, we will present an association test which differs from established FDA methods in that it does not directly depend on principal component analysis. We illustrate these ideas via simulations and by exploring data coming from the childhood asthma management program, CAMP.
When | 4:00 pm to 5:00 pm on Thursday, February 14, 2013 |
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Building | MCS 148 |
Fees | Free |