Guided by the research design: choosing the right statistical test

Alissa Beath and Michael P Jones
Med J Aust 2018; 208 (4): . || doi: 10.5694/mja17.00422
Published online: 5 March 2018

Choosing the right statistical test or model can be baffling for researchers, and if it is not conducted correctly, the results from statistical analyses can be misleading. This article covers some common medical research designs, ranging from simple to more complicated, and provides an outline of which statistical test to apply in each instance. In these contexts, data are collected from a sample that is assumed to be representative of a wider population, and the conclusions drawn from the analyses apply to the wider population.1

  • Alissa Beath
  • Michael P Jones

  • Macquarie University, Sydney, NSW


Series Editors

John R Attia

Michael P Jones

Competing interests:

No relevant disclosures.


remove_circle_outline Delete Author
add_circle_outline Add Author

Do you have any competing interests to declare? *

I/we agree to assign copyright to the Medical Journal of Australia and agree to the Conditions of publication *
I/we agree to the Terms of use of the Medical Journal of Australia *
Email me when people comment on this article

Online responses are no longer available. Please refer to our instructions for authors page for more information.