The Registry Sciences Unit (RSU) based within the School of Public Health and Preventive Medicine, Monash University, is running a two-day workshop titled “Clinical Registry Data Analysis Using Stata” in Melbourne.
This workshop is designed specifically for those interested in the use of Stata to analyse data from longitudinal studies such as clinical registries, routinely collected data and even cohort studies. The first day includes an introduction to Stata and data management topics such as recoding and computing variables, reshaping and merging datasets. This will be followed by statistical tools and techniques that can be utilised to report data from registries. The second day follows through with more advanced statistical models that would be useful for longitudinal data such as Generalised Estimating Equations (GEE) and time series analysis using Autoregressive Integrated Moving Average (ARIMA) models. Finally, advanced graphics such as risk-adjusted funnel plots and cusum plots will be taught.
A basic knowledge of Stata would be helpful but is not a pre-requisite for this course.
Who should attend?
This course is for anyone involved in the design, conduct and analysis of registry/longitudinal data. This includes clinicians, data analysts, health managers and research assistants.
Course Fee: $960 (incl. GST) with early-bird, staff and student discounts available
Payment and Registration: online via https://www.monash.edu/medicine/sphpm/teaching/shortcourses/clinical-registry-data-analysis-using-stata
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