Meta-Analysis in Action: Techniques for Data Extraction and Synthesis
Ready to take the next step in your meta-analytic review journey? This advanced, small-group workshop is designed for researchers who are actively preparing or conducting a meta-analysis. This intensive session will guide you through data extraction procedures, calculating and interpreting a range of effect sizes and handling study heterogeneity through meta-regression within R Studio. With a focus on real-time practice using your own or a provided dataset, whether you’re refining your meta-analysis plan or working with your results, this workshop will equip you with the tools and confidence to run and report multi-level meta-analyses.
We will provide a dummy dataset for download closer to the date.
Note: Prior attendance at " Beyond the Basics: A Practical Guide to Systematic Reviews and Meta-Analyses" and familiarity with R are strongly recommended.
Presented by Dr Sarah Coundouris, Research Fellow, Faculty of Health, Medicine and Behavioural Sciences and Dr Amy Rouse, Senior Lecturer, School of Education
You must attend at least 75% of the session otherwise you may be marked absent
About Research software and programming
Library workshops
The library offers a range of workshops under the headings below including:
R with RStudio Excel for research data NVivo Pro
Useful links
- Library's software training resources
- Software carpentry: The open-source movement to teach basic lab skills for research computing.
- REDCap consortium: A secure web application for building and managing online surveys and databases. UQ is a member of the consortium
- RStudio cheat sheets
- Hacky Hour (supported by RCC, QCIF, IMB and wonderful volunteer helpers!): RCC runs consultations every Tuesday at Cafe Nano. Come and ask IT questions such as: getting started with Python and R, stats, machine learning, bio-image, software tools, research data management (RDM), how to access high performance computing, cloud data storage and tools for data cleaning and data visualisation. Bring your project's IT problems or come along as a helper! Very occasionally Hacky Hour may not run; follow us on Twitter (@HackyHourStLuc) to get the latest announcements. Aside from the usual IT research questions,
- First Tuesday of the month: Bioinformatics Hacky Hour, ask bioinformatics analysis, software and pipeline questions
- Last Tuesday of the month: BioLab Hacky Hour, ask about experimental design and technical sample processing questions to get started in the lab