Introduction to Biostatistics using Stata

Day 1 - Monday 7 November, 9:00am-5:00pm

Day 2 - Tuesday 8 November, 9:00am-5:00pm
Registration opens: Monday 24 October, 10am 

Burwood Corporate Centre, Deakin Burwood Campus

Attending to the hands-on learning nature of the workshop the number of vacancies is set at 25 for each day. A participant may attend one or two days depending on the level of skills and knowledge.

Workshop participant numbers are capped to allow for discussion and interaction.   We expect a high demand for these workshops therefore we strongly encourage registration ONLY if you can attend.  We do understand that unforeseen circumstances occur which can prevent attendance, and in that case we ask that you cancel your registration AS A PRIORITY so that places can be filled by other interested candidates.

Participants will be required to bring along a laptop with Stata 14.0 (or earlier) already installed.


The first day consists of 4 sessions (approx. 2 hours per session). It will be assumed that participants have some knowledge of statistics (i.e. completed an undergraduate level statistics unit).
The participants will be introduced to Stata features and will use health related dataset examples.

Participants will be introduced to techniques for inputting and outputting data using Stata. This will include data cleaning techniques, merging and appending datasets and importing data from other packages such excel and SPSS.

Further sessions will involve conducting exploratory analysis through descriptive statistics and graphs in Stata.

Session 1 – Introduction to Stata – inputting and outputting data - importing datasets.

Session 2 – Data cleaning techniques and Missing Data Issues

Session 3 – Linear regression, correlations, t-tests, and χ2 squared tests

Session 4 - Sample size calculations using Stata

Participants will be introduced to programming using Stata’s do files throughout all sessions.

Presented by

Steve Bowe, PhD, Senior Researcher Biostatistics

Day 2

On the second day there will again be 4 sessions (approx. 2 hours per session) and each session will focus briefly on particular statistical methods.

It would be expected that participants have a greater understanding of the methodology. This day will briefly introduce and discuss the topics, it is “more of a show and tell” day about Stata and its programming structure.

Session 1 and 2 – Introduction to Meta-Analysis - random and fixed effects models

Session 3 and 4 – Introduction to Logistic, Poisson and Negative Binomial regression modelling.

Presented by

Steve Bowe, PhD, Senior Researcher Biostatistics

Page custodian: Faculty of Health
Last updated: