The South Australian Branch of the Statistical Society would like to invite you to the 2024 AGM.
Date: Wednesday 20th March 2024
Time: 5:30 – 7:00 pm (ACDT) (AGM commences at 6:00pm, to be preceded by refreshments and networking)
Venue: The University of Adelaide, Braggs Building, Seminar Room 2.14. See map https://maps.app.goo.gl/YVgL6xiehwMgXKWn7.
Meeting will also be available via Zoom: https://adelaide.zoom.us/j/86873806751?pwd=OWt6K1JoOFpTVFRYYWM0QUFOemxzdz09 Password: 043521
AGM Order of the Day: Election of Returning Officer, Branch officers, Council and Public Officer
Please note: Only financial members of the Statistical Society will be eligible to vote in person, or by proxy.
While a number of council members are willing to stand for office again, this is a first call for nominations for the positions of President, Vice-President, Secretary, Treasurer and Councillor positions assisting the following tasks related to both local and central SSAI activities:
- Newsletter correspondent
- Young Stats Career Event organiser(s)
- Website Coordinator
- Speaker Program manager
Nominations are called for all positions and may be communicated to the Secretary, Gabriella Lincoln (gabriella.lincoln@adelaide.edu.au) before the meeting or may be made from the floor at the meeting.
AGM Agenda
1. Apologies
2. Minutes of the 2023 Annual General Meeting
3. Annual Report for the year 2023
4. Election of Returning Officer, Branch Officers, Council and Public Officer
5. Treasurer's Report
6. Election of Auditor
7. Any other business
8. Two short presentations (details below)
Program for evening
5.30pm – Refreshments & Networking
6.05pm – AGM Elections & President/Treasurer Report
6.30pm - Presentations
7.30 pm - Dinner
Presentations
There will be two short presentations at this meeting.
- Selecting models for high-dimensional genomic data? Let’s talk about hypercubes! - Aline Kunnel
- Designing and analysing partially clustered trials with continuous outcomes - Kylie Lange
Selecting models for high-dimensional genomic data? Let’s talk about hypercubes!
Gene expression data consists of a large number of genes and a small number of observations. Analysis of this type of data is quickly met with issues due to high dimensionality. This project uses a recently introduced method by Cox & Battey motivated by a hypercube geometry. This comprehensive method allows to select and assess sets of combinations of predictors and significantly reduces the time needed. In this talk, I will discuss our extension to the hypercube approach which accounts for strong correlation structures present in gene expression data. I will compare the predictive power of the extended hypercube approach and regularisation methods to real-world data.
About Aline:
Aline Kunnel is a biostatistician in the Biostatistics Unit at the South Australian Health and Medical Research Institute (SAHMRI). She is primarily involved in clinical trials, focusing on women's health during pregnancy and infant outcomes. In her role, Aline is a part of the statistical consulting team that offers statistical services to the Faculty of Health & Medical Science at the University of Adelaide, supporting the development and analysis of various research projects.
Designing and analysing partially clustered trials with continuous outcomes
Many clinical trials involve partially clustered data, where some observations belong to a cluster and others can be considered independent. For example, neonatal trials may include infants from single or multiple births. Sample size and analysis methods for these trials have received limited attention. I will present the results of a simulation study that aimed to assess (1) the performance of mixed models versus generalised estimating equations (GEEs) for analysis of partially clustered trials, and (2) whether existing sample size formulas based on GEEs provide appropriate power for analysis via mixed models.
About Kylie:
Kylie Lange is a biostatistician and PhD student from The University of Adelaide and SAHMRI, the South Australian Health and Medical Research Institute. Her background is in statistical consulting within academia, and she currently works within a clinical research centre in nutrition and diabetes. Kylie's PhD research is in design issues for partially clustered clinical trials.
Post-meeting dinner
A dinner will be held after the meeting at the Lemongrass Thai Restaurant - 289 Rundle St, 5000 Adelaide
Please RSVP for dinner by 18th March (Monday), as we are usually unable to change the booking numbers at the last minute.
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