Tutorials and Fundamentals
Multivariate analysis: an overview
In this blog, Vighnesh provides an outline of multivariate analysis for beginners to this topic.
A network for students interested in evidence-based health care
In this blog, Vighnesh provides an outline of multivariate analysis for beginners to this topic.
Advances in technology now allow huge amounts of data to be handled simultaneously. Katherine takes a look at how this can be used in healthcare and how it can be exploited.
How can you tell if a variable is nominal, ordinal, or numerical? Why does it even matter? Determining the appropriate variable type used in a study is essential to determining the correct statistical method to use when obtaining your results. It is important not to take the variables out of context because more often than not, the same variable that can be ordinal can also be numerical, depending on how the data was recorded and analyzed. This post will give you a specific example that may help you better grasp this concept.
A description of the two types of data analysis – “As Treated” and “Intention to Treat” – using a hypothetical trial as an example
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