Introduction to Stata - PDM1033

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

At a glance

Fees

A$250

Alumni discounted fees

10% discount for undergraduate and postgraduate students, Monash University staff and alumni, and ARA and VHA members.

Free for SPHPM Honours and PhD students.

Who should attend

This introduction is suitable for those who have never used a computer to perform statistical analysis, but who have a basic understanding of statistical concepts such as histograms, t-tests, linear regression and odds ratios.

What you will learn

This course provides an introduction to the statistical analysis software program Stata, covering basic data management issues and popular epidemiological analyses.

Program structure

The course is self-paced and involves participants working through a detailed course manual, covering the following topics:

  • Entering data
  • Using commands on menus
  • Data labelling
  • Descriptive statistics
  • Epidemiological data analysis including logistic regression
  • Do-files and log-files

Testimonials

This was the first time I've attended a 'self-paced' workshop. The course book with the Stata output was great. Thanks.

I found this course really useful. I'm glad to have participated. I'm excited to apply what I learned today. Thank you.

Really enjoyable day – facilitators very approachable and lovely.

Dr Liz Ryan

Dr Liz Ryan

Elizabeth (Liz) Ryan is a Senior Research Fellow in biostatistics in the School of Public Health and Preventive Medicine at Monash University. Liz has over eight years' experience working on clinical trials and has a particular interest in adaptive designs, platform trials and Bayesian statistics.

Liz completed her PhD in 2014 at Queensland University of Technology (QUT). She then worked in the UK for five years as a clinical trials statistician (King's College London) and as a Postdoc on Bayesian adaptive designs for phase III clinical trials (University of Warwick & University of Birmingham).

She then returned home to Brisbane and worked as a Senior Biostatistician for the Faculty of Medicine at the University of Queensland and QCIF Bioinformatics. Liz joined Monash in January 2022 to work on adaptive designs for clinical trials.

Learn more about Dr Ryan

Professor Rory Wolfe

Professor Rory Wolfe

Prof Rory Wolfe has been a biostatistician at Monash since 2000 and contributes to a wide range of epidemiological, public health and clinical research including cohort studies and clinical trials. He also leads research on aspects of statistical methodology as applied to health research. Rory is the Statistical Director of the Monash University Clinical Trials Centre. He is also Head of the Australian Trials Methodology Research Network, and a member of the Statistical Society of Australia. He has delivered postgraduate coursework for the Biostatistics Collaboration of Australia and Monash University for many years.

Rory obtained his PhD in applied statistics from Southampton University (UK) and subsequently did postdoctoral research in statistical methodology for longitudinal studies. He maintains methodological interests in areas including risk prediction, longitudinal studies and clinical trials. Rory has been on the management committee of the Victorian Centre for Biostatistics (VicBiostat) for over 10 years. He also is a Principal Investigator (co-lead with Prof Joanne Ryan) for the large and influential ASPREE study of aspirin use for primary prevention in older adults which has evolved, with detailed post-trial follow-up, into a significant international cohort study of aging.

Learn more about Professor Wolfe

Learn more about the program's terms and conditions.