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Analysing binary or
continuous data usually doesn’t cause any headaches for statisticians. But when
we step into ordinal data, most of us ignore their specific nature and either
dichotomize them or analyse them as if they are continuous.
Recently, these
problems have becoming much more prevalent due to the nature of composite
endpoints (watch out for an interesting episode on this in a few weeks).
Now Benjamin and I
have worked on better tools to analyse such data already at university. We’ll
dig back into what we learned then and what is still relevant today.