David Hughes - Dynamic longitudinal discriminant analysis using multiple longitudinal markers of different types
|Dates:||18 May 2022|
|Times:||14:00 - 15:00|
|What is it:||Seminar|
|Organiser:||Department of Mathematics|
|Who is it for:||University staff, External researchers, Current University students|
David Hughes, Lecturer in Health Data Science at the Institute of Population Health, University of Liverpool is our speaker for the Statistics seminar series.
Title: Dynamic longitudinal discriminant analysis using multiple longitudinal markers of different types
Abstract: There is an emerging need in clinical research to accurately predict patients’ disease status and disease progression by optimally integrating multivariate clinical information. Clinical data are often collected over time for multiple biomarkers of different types (e.g. continuous, binary and counts). In this talk I will describe some recently developed longitudinal discriminant analysis methods utilising multiple longitudinal biomarkers. We utilize multivariate generalized linear mixed models with flexible random effects distributions. These longitudinal models are subsequently used in a multivariate time-dependent discriminant scheme to predict, at any time point, the probability of belonging to a particular risk group. I will describe the methods and briefly show their use in a variety of clinical applications including epilepsy, diabetes, and liver cancer.
Organisation: University of Liverpool
Travel and Contact Information
Zoom link: https://zoom.us/j/92947173491