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Please use this identifier to cite or link to this item: http://aohindia.in/xmlui/handle/123456789/1674
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dc.contributor.authorRutten, Lex-
dc.date.accessioned2019-04-05T09:02:36Z-
dc.date.available2019-04-05T09:02:36Z-
dc.date.issued2016-
dc.identifier.citationIndian Journal of Research In Homoeopathy Vol.10 (1)en_US
dc.identifier.urihttp://aohindia.in:8080/xmlui/handle/123456789/1674-
dc.description.abstractValidation 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.sponsorshipCCRHen_US
dc.language.isoenen_US
dc.subjectBayes’ theoremen_US
dc.subjectCausalityen_US
dc.subjectPrognostic factoren_US
dc.titlePrognostic factor research in Homoeopathyen_US
dc.typeArticleen_US
Appears in Collections:Indian Journal of Research in Homoeopathy

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