Who should attend
This course is designed for anyone involved in the design, conduct and analysis of registry/longitudinal data. This includes clinicians, data analysts, health managers and research assistants. Those with no Stata background are welcomed, as the software would be taught and introduced in Day 1. All software codes for the lectures and practical sessions will be provided, along with a time-limited training license for Stata software.
What you will learn
Topics covered are:
- Importing data into Stata, label variables, recode and compute variables, merging and reshaping datasets, simple descriptive statistics
- Reporting data from registries
- Longitudinal analysis of registry data – generalised estimating equation (GEE) modelling
- Longitudinal analysis of registry data – ARIMA modelling
- Advanced graphics – funnel plots, cusum charts, survival plots etc
Program structure
Each lecture will be followed by hands-on practical sessions using realistic clinical registry data, and the sessions are meant to be highly interactive.
Participants should bring a laptop and will be provided with a Stata training license.
Day 1
The first day includes an introduction to Stata and data management topics such as recoding and computing variables, reshaping and merging datasets and basic tests of associations.
This will be followed by statistical tools and techniques that can be utilised to automate reporting 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 and survival plots will be taught.
Testimonials
All the speakers are very good and very supportive and kind. Very worthwhile, thanks!
