| Bayesian homeopathy: talking normal again. | |
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MedLine Citation:
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PMID: 17437940 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Homeopathy has a communication problem: important homeopathic concepts are not understood by conventional colleagues. Homeopathic terminology seems to be comprehensible only after practical experience of homeopathy. The main problem lies in different handling of diagnosis. In conventional medicine diagnosis is the starting point for randomised controlled trials to determine the effect of treatment. In homeopathy diagnosis is combined with other symptoms and personal traits of the patient to guide treatment and predict response. Broadening our scope to include diagnostic as well as treatment research opens the possibility of multi factorial reasoning. Adopting Bayesian methodology opens the possibility of investigating homeopathy in everyday practice and of describing some aspects of homeopathy in conventional terms. |
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Authors:
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A L B Rutten |
Publication Detail:
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Type: Journal Article; Review |
Journal Detail:
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Title: Homeopathy : the journal of the Faculty of Homeopathy Volume: 96 ISSN: 1475-4916 ISO Abbreviation: Homeopathy Publication Date: 2007 Apr |
Date Detail:
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Created Date: 2007-04-17 Completed Date: 2007-06-14 Revised Date: 2009-11-19 |
Medline Journal Info:
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Nlm Unique ID: 101140517 Medline TA: Homeopathy Country: Scotland |
Other Details:
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Languages: eng Pagination: 120-4 Citation Subset: IM |
Affiliation:
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Commissie Methode en Validering VHAN (Dutch Association of Homeopathic Physicians), The Netherlands. lexrtn@concepts.nl |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Bayes Theorem* Data Interpretation, Statistical Diagnosis Homeopathy / methods* Humans Likelihood Functions* Materia Medica Molecular Epidemiology / methods Randomized Controlled Trials as Topic Research Design Terminology as Topic |
| Chemical | |
Reg. No./Substance:
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0/Materia Medica |
| Comments/Corrections | |
Comment In:
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Homeopathy. 2008 Jan;97(1):52-3
[PMID:
18194776
]
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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