The aims of the study was to compare the marks obtained at the final assessment, using MCQ tests and at the oral evaluation, for a preclinical and a clinical discipline, on a sample of 285 undergraduate students at dental medicine divided into two groups according to their year of study, in order to evaluate the advantages and the drawbacks of these performances. The statistical results showed that the grades' distribution at MCQ tests follow the normal law, but their averages were significantly lower than the average marks obtained at the oral evaluation, regardless the year of study or gender.
A subject of high interest in epidemiology is to register monthly and yearly the prevalence of certain diseases, in order to make prognosis regarding the expected number of new patients. It is suitable to solve these sorts of problems by treating these monthly reports as time series and making forecasts through the modelling methods of Time Series Analysis. Our paper propose this approach in making forecasts about the expected number of 4 types of oro-maxillo-facial traumas at patients from Iasi, during a period of 8 months (May 2015 -December 2015) based on 11 years records made within the Oro-Maxillo-Facial Surgery Clinic, "Sf. Spiridon" Emergency Hospital Iasi. The forecasts were made in SPSS 16.0, using the Expert Modeler module, and the best suitable models found were Simple Seasonal Exponential Smoothing and Simple Exponential Smoothing. The paper presents the results of this analysis and the predicted values, with 95% confidence intervals. (Abstract)
The study accomplished a cross-sectional survey based on standardized questionnaires (COHIP and SESq) on 184 children from urban public schools (Iasi and Suceava) located in the Moldavian region of Romania, in order to evaluate the influence of socio-economic status (SES) on the oral health and the quality of life (QoL). The results showed a very good QoL, a medium level of SES and statistical correlations between the average scores of COHIP and SES and identified the socio-economic predictors concerning families of children with very good oral health and QoL.
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