It’s hard to decide which treatment to choose when trying to quit smoking or lose weight. The term ‘number needed to treat’ could help you decide what is most likely to work.
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Clinical trials can assess impact of a medication on a disease. The ideal design is ‘blind’ – when the researchers and participants do not know who is assigned to the different treatments.
What contributes most to being at high risk of diabetes – diet, genes or something else? Big research questions need robust research approaches, so let’s break it down.
Important research questions can almost always be answered better with a combination of methods – where both quantitive and qualitative data play a role.
Cohorts, or groups of people, are followed over time in longitudinal studies – imagine the study subjects marching forward together through the years, like a group of soldiers.
What do stats really mean in the real world? Here’s an example from leukaemia research to help you identify if a result really is important.
Once upon a time, a group of disheartened scientists found their tearoom bereft of teaspoons. They explored the problem with a longitudinal study design.
Top contributors
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Associate Professor, School of Medical, Indigenous and Health Sciences, University of Wollongong
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PhD Candidate, University of Wollongong
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Epidemiologist & Senior Lecturer in Public Health, Flinders University
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Biostatistician, The University of Melbourne
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Senior Research Fellow, University of Adelaide
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Biostatistician, The University of Melbourne
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Post-Doctoral Researcher, South Australian Health & Medical Research Institute
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NHMRC ECR Fellow, University of Adelaide
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PhD candidate, South Australian Health & Medical Research Institute
