This course aims to provide you with the understanding and experience to undertake a basic research project in the social or health sciences using Stata as the statistical tool.
This course will be run over 5 days in the following sessions:
- 10.00 am - 11.30 am - Instructional Zoom Session
- 12.30 pm - 2.00 pm - Instructional Zoom Session
- 3.00 pm - 5.00pm - Exercises and consultation
This course is being run on Australian Eastern Daylight Time (UTC +11)
(Canberra, Sydney Melbourne Daylight Savings time)
Dr Joanna Dipnall is an applied statistician with interests in the advanced statistical methods, including machine learning and deep learning techniques. She completed her Honours in Econometrics with Monash University and her PhD with IMPACT SRC, School of Medicine, Deakin University. Joanna works extensively with registry and linked medical data and collaborates extensively with the Faculty of IT at Monash to supervise Masters and PhD students to integrate artificial intelligence within health research. Joanna teaches within the Monash Biostatistics Unit and is the Unit Co-coordinator for the Monash Masters of Health Data Analytics course. Joanna has taught advanced statistical methods for many years at universities and for ACSPRI.
Stata is a comprehensive integrated package for data management, analysis and graphics. Stata has a comprehensive GUI interface. Sample datasets will be provided, but you are encouraged to bring some of your own data for analysis in Excel or ASCII format.
Teaching and practice will be closed integrated. Private consultations will be allocated during the course as needed.
The course is suitable for beginners to the Stata package and will be presented in a way that introduces survey research. It is also appropriate to those familiar with Stata as it extends the capabilities of more experienced researchers.
Day 1
Introduction
- About Stata
- Inputting data into Stata
- Exploring data in Stata
- Basic data modifications in Stata
Day 2
Basic Analysis
- Tables and Correlations
- T-tests and analysis of variance
- Introductrion to Stata graphics
- Consultation
Day 3
More Analysis
- Handling Dates
- Developing scales
- Factor analysis
- Consultation
Day 4
“Day of Regression”
- OLS Regression
- Logistic Regression
- Consultation
Day 5
Survey Data
- Meging Datasets
- Analysis of survey data in Stata
- Consultation
This course will take place online using Zoom and uses the Stata software. If you don't have access to Stata, we will organise a trial version for your course.
Notes and sample datasets will be provided, but you are encouraged to have some of your own data for analysis in Excel or ASCII format.
This course assumes that participants have;
(1) reasonable understanding of statistics to be able to comprehend the material covered in the course outline above (e.g. regression analysis)
(2) some familiarity with a PC environment including keyboard skills and understanding of folder and file structures,
(3) some experience in using Microsoft Word and Excel or their equivalent
(4) some experience using a text editor such as Notepad.
It does not assume prior experience with Stata, SAS, SPSS or any other specific statistical packages although any such experience would be helpful.
The instructor's bound, book length course notes will serve as the course texts.
No specific references are suggested although participants are encouraged to bring any Stata documentation they may have. For an overview of the Stata package, please visit http://survey-design.com.au or http://stata.com.
Q: Do I have to have any prerequisites to do this course?
A: It would be advised that you have completed an introductory statisics course ie Fundamentals of Statsistics.
I have previously used Stata in research previously with little instruction and virtually no guidance. This course joined the dots of my limited knowledge. More importantly, I have learnt a systematic and clear approach to data organisation, file management and replication of research. The course increased my understanding of core analytical methodology in both regression and logistic analysis.
Online was great for this course. We could share screens, add code to chats etc
Good balance of theory and practical group work, and I found doing it online to be better as it could simultaneously run the code and make notes
I feel much more confident using Stata after the course and understand what I'm doing and the language much better.
It was a great course. The online zoom format worked really well. I would be keen to do any future online courses that may become available.
New skills learnt and covered a lot of material in 5 days.
Really enjoyed this class, a good mix of consolidating some basic concepts and applying stata commands. It was great to come away with files I can use as a template for my analyses.
This course improved my knowledge & skills in STATA. I did have very little knowledge on STATA, after this course I learned a lot.
Good balance of exercise, examples and own work.
Very helpful practical course, intense but highly recommended.
Jo ran an excellent and energetic course both hands on and explained complicated concepts simply. Love the hands on.
Highly relevant to my work & research. Would highly recommend to others.
The instructor's bound, book length course notes will serve as the course texts.
These will be posted in advance to your nominated 'shipping address'