October 2020 meeting: improving diversity and teaching R

[LAST MINUTE EDIT: MEETING LINK UPDATED, IT WAS BROKEN! APOLOGIES FOR THAT, IT SHOULD BE WORKING NOW]

Hi everyone,

We're BACK!

Our September session will be on 16th, so join us from 5.30pm online. As usual, the meeting will be open for all to attend, and newcomers / beginners are very welcome.

Our online meetings are kindly being enabled by Red Hat (https://www.redhat.com/).

Our speakers are Lydia Gabriela Speyer (@LydiaSpeyer) and Russ Hyde (@haematobot).

• Lydia Gabriela Speyer is a third year PhD student at the University of Edinburgh. Her research focuses on analysing longitudinal data such as the Millennium Cohort Study using Structural Equation Modelling and Network Analysis to gain insights into the effect of perinatal environmental and genetic risk factors on children’s socio-emotional development.
• Russ Hyde started using R a decade ago, while a bioinformatician at Liverpool uni. In recent years, he has presented at Edinbr on the packages `dupree` and `polyply`. He mentors at the "R for data science" community and helps maintain `lintr`. Having left bioinformatics, Russ is currently looking for data science/engineering jobs; but is mostly fixing up a house.

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## Analysing Dynamic Change in Longitudinal Data using ALT-SR and GVAR models

### Lydia Gabriela Speyer (https://twitter.com/LydiaSpeyer)

This talk will give a short introduction to using Autoregressive Latent Trajectory Models with Structured Residuals and Graphical Vector Autoregression Models to analyse dynamic change in longitudinal panel data using R. These models focus on disaggregating within from between-person effects when modelling concurrent and temporal inter-relations between multiple repeated measures variables simultaneously. The two methods will be illustrated using data on children’s socio-emotional development from the Millennium Cohort Study.