Clinical Registry Data Analysis Using Stata

Clinical Registry Data Analysis Using Stata

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 cohort studies.

Register here

Course dates

17 & 18 November 2021

Course delivery

This course is offered online via Zoom as well as in person at:

Monash Public Health
and Preventive Medicine
553 St Kilda Road
Melbourne VIC 3004

Cost

2 days: $1,100 incl. GST

10% discount for Students / Monash staff / Monash alumni / Alfred staff / VHA members

Program contact

shortcourses.depm@monash.edu

Phone: +61 3 9903 0289

Terms and Conditions

Stata is a statistical analysis software designed for researchers. This software enables data manipulation, visualisation, statistics, and reproducible reporting.

Course 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.

Topics covered

  • 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

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.

Course director

A/Prof Earnest will be assisted by Data Analysts from his team in the presentation of this course.

Scholar testimonial

All the speakers are very good and very supportive and kind. Very worthwhile, thanks!

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.