statistics

Living with complexity and big data. Causal dispositionalim enters pharmacovigilance

Ralph Edwards on dispositionalism in pharmacovigilance

We have seen a lot of interest in the CauseHealth approach and issues during these last years, especially among clinicians who see a need for a more person centered healthcare. Can this be useful also outside the clinic? Yes, according to senior medical advisor at the WHO Uppsala Monitoring Center for Drug Safety, Ralph Edwards. In a recent perspectives article in the UMC report, he argues that dispositionalism can be useful for dealing with complexity, individual variation and the patient’s unique context. (more…)

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What does CauseHealth mean by N=1?

by Roger Kerry

N=1” is a slogan used to publicise a core purpose of the CauseHealth project. N=1 refers to a project which is focussed on understanding causally important variables which may exist at an individual level, but which are not necessarily represented or understood through scientific inquiry at a population level. There is an assumption that causal variables are essentially context-sensitive, and as such although population data may by symptomatic of causal association, they do not constitute causation. The project seeks to develop existing scientific methods to try and better understand individual variations. In this sense, N=1 has nothing at all to do with acquiescing to “what the patient wants”, or any other similar fabricated straw-man characterisations of the notion which might emerge during discussions about this notion. (more…)