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Prognostic factor research in Homoeopathy

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dc.contributor.author Rutten, Lex
dc.date.accessioned 2019-04-05T09:02:36Z
dc.date.available 2019-04-05T09:02:36Z
dc.date.issued 2016
dc.identifier.citation Indian Journal of Research In Homoeopathy Vol.10 (1) en_US
dc.identifier.uri http://aohindia.in:8080/xmlui/handle/123456789/1674
dc.description.abstract Validation of homoeopathic medicines is about validating effectiveness in individual cases. Homoeopathic practitioners base their expectation that a medicine will work on the experience that specific symptoms of the patient indicate specific medicines. The prevalence of such symptoms is higher in a population responding well to a specific medicine than in the remainder of the population. This principle has a solid mathematical foundation in Bayes’ theorem, identifies homoeopathic symptoms as prognostic factors, and offers an interesting perspective of individualized research. This kind of research depends on recording symptoms and results of treatment. An important challenge in this research is establishing causality between medicine and improved health. Prognostic factor research could become one of the main pillars of Homoeopathy’s scientific identity. en_US
dc.description.sponsorship CCRH en_US
dc.language.iso en en_US
dc.subject Bayes’ theorem en_US
dc.subject Causality en_US
dc.subject Prognostic factor en_US
dc.title Prognostic factor research in Homoeopathy en_US
dc.type Article en_US


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