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Tuesday, February 11, 2020

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SLS/WMS Micro Seminar by Dr Paul Hoskisson, Institute of Pharmacy and Biomedical Sciences, University of Strathclyde
MBU/A151, Medical School Building
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Health Sciences Seminar Series - Dr Kevin Burke University of Limerick. Flexible Models for Survival Data
Room A030

Dr Kevin Burke is a Lecturer in Statistics at the University of Limerick.


Classical linear regression involves introducing predictor variables through the mean of the response variable, whereas the variance is a constant common to all individuals. However, there is no reason believe that this should be true in practice – just as the mean varies with predictor variables, so too can the variance (albeit the constant variance assumption leads to elegant classical theory). A more flexible “multi-parameter regression” (MPR) approach is to allow both mean and variance parameters to depend on predictor variables; this is known as “heteroskedastic regression” in econometrics.

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