Clinical Registry Data Analysis Using Stata

Overview

This two-day workshop is designed specifically for those interested in the use of Stata to analyse data from longitudinal studies such as clinical registries, routinely collected health data and even cohort studies.

Course structure

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.

Participants will be provided with a Stata training license.

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.



While the information contained herein was correct at the date of publication, Monash University reserves the right to alter procedures, fees and regulations should the need arise.