Dimitrios Vagenas.

Speaker: Dimitrios Vagenas is a biostatistician and the head of the Research Methods Groups at the Queensland University of Technology.

He is also the President of the QLD branch of the Statistical Society of Australia and a member of the Accreditation committee of the same society. He also holds the highest professional accreditation of the American Statistical Association and the Royal Statistical Society. He has also studied animal science, quantitative genetics, and digital biology. His main job is to help researchers do better research and he enjoys working in multidisciplinary teams.

Title: Analysing Longitudinal Data

Abstract: The focus of the current seminar will be a (very) brief introduction to longitudinal data and their analysis focusing on regression. To start with we will look at longitudinal data and different designs for collecting such data. We will then look at some empirical observations and why they occur before turning our attention to simple linear regression and why it is generally not appropriate to use it for the analysis of such data. Understanding the above is very important but also a neglected aspect of longitudinal data. We will then, very briefly, introduce two methods for appropriately analysing such data: (i) mixed models and (ii) Generalised Estimating Equations.

About The Language Technology and Data Analysis Laboratory (LADAL) Webinars

The Language Technology and Data Analysis Laboratory (LADAL) is school-based support infrastructure for computational humanities research established and maintained by the UQ School of Languages and Cultures. The LADAL is part of the ARDC Australian Text Analytics Platform (ATAP) which represents a nation-wide attempt to foster computational skills in HASS. It collaborates with and shares expertise with several Australian and international centres, institutions, researchers, and experts.

The LADAL consists of a specialist computing lab for language-based computational and experimental work (the Computational and Experimental Workshop) and an online virtual lab (the LADAL website). The LADAL website offers self-guided study materials and hands-on tutorials on topics relating to digital tools, computational methods for data extraction and processing, data visualization, statistical analyses of language data, and provides links to further resources and short descriptions of digital tools relevant for digital HASS research. In addition, the LADAL offers face-to-face consultations and specialized workshops. SLC researchers are encouraged to contact LADAL staff for advice and guidance on matters relating to digital research tools, data visualization, various statistical procedures, and text analytics.  As such, the LADAL offers pathways to new research possibilities in HASS with a focus on computational quantitative text analytics.



Zoom ID Link: https://uqz.zoom.us/j/86849442143

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