DAY 1

• 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.

DAY 2

• 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, cusum plots will be taught.

 

Each lecture will be followed by hands-on practical sessions using realistic clinical registry data, and the sessions are meant to be highly interactive.