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<p>Dear all,</p>
<p>On Tuesday 2 July at 2pm in <span class="event-where">54 / 5027 (5A), we have an S3RI seminar from
</span><span class="event-where">Pauline O'Shaughnessy (</span><span class="event-where"><span class="JtukPc"><span role="heading" id="rAECCd">University of Wollongong</span></span>) on
</span><span class="event-where"><span class="event-description">"</span></span><span class="event-where"><span class="event-description"><span class="event-description"><span class="JtukPc">Bootstrap inference in longitudinal data with multiple sources of
variation</span></span>". Details are given below.<br>
</span></span></p>
<p><span class="event-where"><span class="event-description">Pauline is visiting Southampton from Monday 1 July - Friday 5 July, and is
</span></span><span class="event-where"><span class="event-description"><span class="event-where"><span class="event-description">keen to meet with others, so please let me know if you would like to meet her.</span></span> Her research interests include bootstrap
inference, mixed-effects models, </span></span><span class="event-where"><span class="event-description"><span class="event-where"><span class="event-description">quasi-likelihood,</span></span> and data privacy (statistical disclosure control in particular).<br>
</span></span></p>
<p><span class="event-where"><span class="event-description"><span><span class="event-description">The talk will be followed by tea and cake in the staff reading room on level 4 of building 54. </span></span></span></span></p>
<p><span class="event-where"><span class="event-description"><span><span class="event-description">All are welcome!</span></span></span></span></p>
<p><span class="event-where"><span class="event-description"><span>Best wishes,</span></span></span></p>
<p><span class="event-where"><span class="event-description"><span>Helen</span></span></span></p>
<p><span class="JtukPc"></span><span class="JtukPc">Bootstrap inference in longitudinal data with multiple sources of variation
<br>
</span></p>
<p><span class="JtukPc">Pauline O'Shaughnessy, University of Wollongong <br>
</span></p>
<p><span class="JtukPc">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. <br>
</span></p>
<p><span class="JtukPc">This is a joint work with Professor Alan Welsh from the Australian National University.</span></p>
<br>
<span class="event-where"><span class="event-description"><span><span class="event-description"><span><span class="event-description"></span><span class="event-description"><span class="event-description">For the current schedule of S3RI seminars, see
<a class="moz-txt-link-freetext" href="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" originalsrc="https://tinyurl.com/s3riseminar" shash="i3tuyKApmI3sIv8F+qsvvT+iuuMELiVuO1oIbLu4BC+TsZUTeLNS7Uz0BQj5i0i7x/jl2lqDef4VQjZ36rQhxHRJvdpVWMW731psAFO3ghc8z4lLjLMmKSJRBcTN0SPI9ucMBeTG5hlRT3nm2hqt+tYlI4peK9nI0J73rML1aN4=">
https://tinyurl.com/s3riseminar</a> </span></span></span></span></span></span></span><br>
<p><span class="event-where"><span class="event-description"><span><span class="event-description"></span></span></span></span></p>
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