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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
Speaker:David Hughes
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  • Department of Mathematics

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  • In category "Seminar"
  • In group "(Maths) Probability and statistics"
  • By Department of Mathematics

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.

Speaker

David Hughes

Organisation: University of Liverpool

  • https://www.liverpool.ac.uk/population-health/staff/david-michael-hughes/

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Zoom link: https://zoom.us/j/92947173491

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Olatunji Johnson

olatunji.johnson@manchester.ac.uk

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