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Robust Joint Modelling: An introduction and exploration of recent extensions

The department of Mathematics and Statistics at the University of Limerick invites you to a seminar by  Dr Lisa McCrink (Queen's University Belfast):

Title:  Robust Joint Modelling: An introduction and exploration of recent extensions

Abstract: An introduction and exploration of recent extensions With a steady growth in the volume of data being collected currently, there is an obvious need to build more sophisticated tools with which to analyse this data. One such method is joint modelling. In the last few decades, joint modelling has proven to be a valuable technique in the simultaneous analysis of individuals’ repeated measurements over time and the common link such longitudinal data has with a time-to-event or survival process. This talk will discuss an extension to standard joint modelling techniques which accounts for the presence of longitudinal outliers – the use of robust joint models. In the joint modelling of longitudinal and survival data it is commonly assumed that the random effects and error terms follow normality assumptions. This research illustrates the negative impact of such conventions when longitudinal outliers are present, highlighting the benefits of assuming that the random terms instead follow a wider tailed t-distribution. The robust joint model presented is flexible as it allows the degree at which outliers are adjusted for to be dictated by the data where the standard joint model, which assumes normality, is given as a special case. Such detrimental effects of outliers are clearly demonstrated within this research both through a simulation study and an illustrative example focusing on Northern Irish renal patient data.

This seminar will take place on Friday , April 28th , at 4pm, in  Room A2-002.

If you have any questions regarding this seminar, please direct them to Iain Moyles (061 233726, iain.moyles@ul.ie).

A full list of upcoming seminars can be found at https://ulsites.ul.ie/macsi/node/48011

Supported by Science Foundation Ireland funding, MACSI - the Mathematics Applications Consortium for Science and Industry (www.macsi.ul.ie), centred at the University of Limerick, is dedicated to the mathematical modelling and solution of problems which arise in science, engineering and industry in Ireland.

 

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