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How to best analyze ordinal data
Overcoming the simplification strategy
Click here to get to the homepage of the episode!
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.
View all episodes
By Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry
4.4
99 ratings
Overcoming the simplification strategy
Click here to get to the homepage of the episode!
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.
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