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, etc. 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.
A basic knowledge of Stata would be helpful but is not a pre-requisite for this course.
The target audience is anyone working on the analysis and reporting of data from clinical registries, routinely collected health data and other longitudinal studies.