Welcome to CRiSM seminar series!
Seminars take place approximately biweekly in term time, in the Department of Statistics. There will be wine and cheese after the talks in the Statistics Common Room (1.02).
We encourage all postgraduate students (MSc and PhD) to attend this series: it is a great opportunity to know more about current research within the department and outside.
CRiSM seminars 2018/2019 are organised by Dr Ritabrata Dutta.
Fri 28 Jun, '19-
Dr. Pauline O'Shaughnessy, University of Wollongong, Australia
Title: Bootstrap inference in the longitudinal data with multiple sources of variation
Abstract: Linear mixed models allow us to model the dependence among the responses by incorporating random effects. Such dependence inherent in the longitudinal data from a complex design can be from the clustering between subjects and the repeated measurements within the subject. When the underlying distribution is not fully specified, we consider a class of estimators defined by the Gaussian quasi-likelihood for normal-like response variable. Historically it is challenging to make inference about the variance components in the framework of mixed models. We propose a new weighted estimating equation bootstrap, which varies weight schemes for different parameter estimators. The performance of the weighted estimating equation bootstrap is empirically evaluated in the simulation studies, showing improved coverage and variance estimation for the variance component estimators under models with normal and non-normal distributions for random effects. The asymptotic properties will also be addressed and we apply this new bootstrap method to a longitudinal dataset in biology.
(This is a joint work with Professor Alan Welsh from the Australian National University.)