Volume : IX, Issue : III, March - 2020

APPLICATION OF BAYESIAN THEOREM IN VALIDATION OF RUBRICS FROM KENT'S REPERTORY

Monika Kesarwani, Arun Bhargav Jadhav, Jyoti Deepak Patil

Abstract :

The reliability issues in the grading system of Kents repertory may be overcome by implementing the Bayesian statistical approach to calculate the likelihood ratio (LR) with 95% confidence interval (CI) and probability. Hence the values obtained for 7 analysed ruics from a retrospective study were compared with the already set cut off values for validation. Prevalence of a symptom within the targeted population was (1.5 ‚Äď 32.4%) and the ruics size varying from 60- 226 in the Kentís repertory. Out of the 85 relevant outcomes obtained, 5.9% results showed probable occurrence with the existing entries while 30.6 % suggested the downgrading of the existing typeface. 63.5% results are still doubtful out of which 26% entries are likely to be weak indications for Roman typeface (LR>1, p>0.70) and 5.6% medicines which otherwise doubtful are present in the population (symptom present with cured medicine) but absent in the repertory.

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Article: Download PDF    DOI : https://www.doi.org/10.36106/gjra  

Cite This Article:

APPLICATION OF BAYESIAN THEOREM IN VALIDATION OF RUBRICS FROM KENT'S REPERTORY, Monika Kesarwani, Arun Bhargav Jadhav, Jyoti Deepak Patil GLOBAL JOURNAL FOR RESEARCH ANALYSIS : Volume-9 | Issue-3 | March-2020


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