[Omeo33] Art 0965 - Homeopathy, 2009, 98 (1), 26-34

[Gino Santini]

Statistical analysis of six repertory rubrics after prospective  
assessment applying Bayes' theorem
A.L.B. Rutten, C.F. Stolpera, R.F.G. Lugtena and R.W.J.M. Barthelsa

Background - After prospective assessment of six homeopathic symptoms  
we validated some rubrics of the homeopathic repertory using Bayesian  
theory. In this paper we introduce statistical arguments for  
introducing or discarding entries from the repertory.
Methods - 4094 patients entered the prospective study and 4072  
prescriptions were evaluated. After translating typeface into  
Likelihood Ratios (LRs), Confidence Intervals and the probability of  
existing repertory entries compared to our findings were calculated.
Outcome - Our assessment yielded 121 relevant results to validate  
existing repertory entries. Five symptoms could be compared with  
Kent's original repertory; they have about the same prevalence (range  
3.9–6.5%) in the whole population, but the size of the corresponding  
repertory rubrics varies from 3 to 103 entries. LR assessment reduced  
the larger rubrics and supplemented the smaller ones. Our results do  
not correspond with 56% of the existing repertory entries regarding  
five symptom-rubrics. This result cannot be generalised for the whole  
repertory.


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