Modelling count outcomes from dental caries in adults: a comparison of competing statistical models

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dc.contributor.authorAdeti, Felix
dc.date.accessioned2017-01-18T10:09:19Z
dc.date.accessioned2023-04-19T12:26:59Z
dc.date.available2017-01-18T10:09:19Z
dc.date.available2023-04-19T12:26:59Z
dc.date.issuedOctober, 2016
dc.descriptionA thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology In partial fulfillment of the requirement for the Degree of M.Phil Mathematical Statistics, en_US
dc.description.abstractThe objectives of this research are to identify the key risk factors contributing to dental caries in adults and to determine an appropriate model suitable for the analysis of Decayed, Missing and Filled Teeth Data (DMFTDATA). The study was conducted between June, 2015 and January, 2016 in Sefwi Wiawso District Hospital, Sefwi Wiawso, Ghana, and it involved a systematic random samples of 1158. The average age of participants was about 40 years with 54% of them being females and the rest 46% being males. Count data models such as Poisson, negative binomial models, zero inflated Poisson (ZIP), zero inflated negative binomial (ZINB) and Poisson hurdle (PHURDLE) models were fitted to the DMFTDATA and compared using the Vuong test statistic (V) and Akaike information criterion (AIC). ZINB was found to be the appropriate model for analysing DMFTDATA characterised with overdispersion and contains 28.8% of zeros. It was found that age (in years), jaw accident, frequency in sweet consumption, rinsing habit after meal with water and frequency of brushing were significant risk factors of dental caries in adults. It is therefore recommended that adults should endeavour to brush their teeth at least twice daily and rinse their mouth with water after meal. Also proper dental care should be considered for adults with jaw accident and adults should reduce intake of sugar foods.en_US
dc.description.sponsorshipKNUSTen_US
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/9928
dc.language.isoenen_US
dc.titleModelling count outcomes from dental caries in adults: a comparison of competing statistical modelsen_US
dc.typeThesisen_US
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