2018
DOI: 10.1159/000486970
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Interpreting Poisson Regression Models in Dental Caries Studies

Abstract: Oral epidemiology involves studying and investigating the distribution and determinants of dental-related diseases in a specified population group to inform decisions in the management of health problems. In oral epidemiology studies, the hypothesis is typically followed by a cogent study design and data collection. Appropriate statistical analysis is essential to demonstrate the scientific association between the independent factors and the target variable. Analysis also helps to develop and build a statistic… Show more

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Cited by 23 publications
(11 citation statements)
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“…As for RQ2, which involved examining the relationship between the 12 subdimensions (independent variables) and the public’s responses in terms of the count number of shares, comments, and likes (dependent variables), we first employed Poisson regression, a count regression model in SPSS [ 78 , 79 ]. However, real-world data sets are commonly known to violate the assumption in the Poisson regression with respect to overdispersion of outcome variables [ 80 ].…”
Section: Methodsmentioning
confidence: 99%
“…As for RQ2, which involved examining the relationship between the 12 subdimensions (independent variables) and the public’s responses in terms of the count number of shares, comments, and likes (dependent variables), we first employed Poisson regression, a count regression model in SPSS [ 78 , 79 ]. However, real-world data sets are commonly known to violate the assumption in the Poisson regression with respect to overdispersion of outcome variables [ 80 ].…”
Section: Methodsmentioning
confidence: 99%
“…Independent variables, such as demographic background, dental hygiene practices and other clinical parameters that may modify the outcome variables, will be studied. Because the outcome variables may not be normally distributed, the Poisson model or negative binomial regression model will be considered to investigate the effect modification [ 18 ].…”
Section: Methodsmentioning
confidence: 99%
“…However, we found overdispersion exhibited when testing for assumptions in Poisson regression. Then we decided to employ negative binomial regression to replace Poisson regression as suggested in previous research [ 80 , 81 ].…”
Section: Methodsmentioning
confidence: 99%