Monash University
2 days
This two-day workshop teaches participants how to use Stata software to analyze data from clinical registries, longitudinal studies, and routinely collected health data.
This course is designed for anyone involved in the design, conduct and analysis of registry/longitudinal data, including clinicians, data analysts, health managers and research assistants. Those with no Stata background are welcomed, as the software would be taught and introduced on Day 1.
Topics covered include importing data into Stata, data management, reporting data from registries, longitudinal analysis using Generalised Estimating Equations (GEE) and ARIMA models, and advanced data visualization techniques like funnel plots, cusum charts, and survival plots.
Monash University is a leading research-intensive university with a strong focus on applied health research. The course is delivered by Professor Arul Earnest, a leading academic biostatistician with extensive expertise in registry data analysis.
This course will equip participants with the skills to effectively analyze and report on data from clinical registries, cohort studies, and other longitudinal health datasets, which is crucial for informing healthcare policy and practice.
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