[Turing-Southampton] S3RI seminar: Pauline O'Shaughnessy, Tuesday 2 July, 2-3pm

[Ogden H.E.]

Dear all,

On Tuesday 2 July at 2pm in 54 / 5027 (5A), we have an S3RI seminar from Pauline O'Shaughnessy (University of Wollongong) on "Bootstrap inference in longitudinal data with multiple sources of variation". Details are given below.

Pauline is visiting Southampton from Monday 1 July - Friday 5 July, and is keen to meet with others, so please let me know if you would like to meet her. Her research interests include bootstrap inference, mixed-effects models, quasi-likelihood, and data privacy (statistical disclosure control in particular).

The talk will be followed by tea and cake in the staff reading room on level 4 of building 54.

All are welcome!

Best wishes,

Helen

Bootstrap inference in longitudinal data with multiple sources of variation

Pauline O'Shaughnessy, University of Wollongong

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.

For the current schedule of S3RI seminars, see https://tinyurl.com/s3riseminar<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftinyurl.com%2Fs3riseminar&data=01%7C01%7C%7C48449bd5d925407f394708d6f64d884e%7C4a5378f929f44d3ebe89669d03ada9d8%7C0&sdata=T3F04eabWKBoyRYmbSeySlv0HJGrRn0uFk%2FrCZvXWR8%3D&reserved=0>
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