Application of Statistical Inference through Data Science Techniques
This is a webinar of the 2020 Orange County Biostatistics Symposium Series to present applications of data science techniques and tools to statistical inference making, The webinar focuses on various techniques such as machine learning methods, predictive biomarker algorithms, etc. in the area of biomedical sciences.
Registration
Free for 2020 OC Biostatistics Symposium registered attendees or for active OCLBASA Chapter members. Please register on the series page for this event. An email link with login details will be sent.
Agenda
Program Overview
Introduction
Gajanan Bhat, (Chair, Orange County Biostatistics Symposium, Spectrum Pharmaceuticals)
Session Chair, Kitty Guo, (AbbVie)
Lauren Cappiello (UC Riverside) - "Applied machine learning methods in evidence synthesis."
Song Zhai, (UC Riverside) - "Identifying the best predictive biomarker in pharmacogenomics."
Mary Ryan, (UC Irvine) - "Variance estimation for the kappa statistic in the presence of clustered data and heterogeneous observations."
Event Type
- NISS Sponsored
Host
Sponsor
Website
Location
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