Indian Journal of Dental ResearchIndian Journal of Dental ResearchIndian Journal of Dental Research
HOME | ABOUT US | EDITORIAL BOARD | AHEAD OF PRINT | CURRENT ISSUE | ARCHIVES | INSTRUCTIONS | SUBSCRIBE | ADVERTISE | CONTACT
Indian Journal of Dental Research   Login   |  Users online: 77

Home Bookmark this page Print this page Email this page Small font sizeDefault font size Increase font size         

 


 
ORIGINAL RESEARCH Table of Contents   
Year : 2010  |  Volume : 21  |  Issue : 4  |  Page : 480-485
Using zero inflated models to analyze dental caries with many zeroes


1 Department of Public Health Dentistry, SDM College of Dental Sciences & Hospital, Dharwad, Karnataka, India
2 Department of Statistics, Bangalore University, Jnanabharathi, Bangalore, Karnataka, India

Correspondence Address:
Shivalingappa B Javali
Department of Public Health Dentistry, SDM College of Dental Sciences & Hospital, Dharwad, Karnataka
India
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0970-9290.74210

Rights and Permissions

Aim: The study aimed to analyze and determine the factors associated with dental caries experience contains many zeros by zero inflated models. Design: A cross sectional design was employed using clinical examination and questionnaire with interview method. Materials and Methods: A study was conducted during March-August 2007 in Dharwad, Karnataka, India, involved a systematic random samples of 1760 individuals aged 18-40 years. The dental caries examination was carried out by using DMFT index (i.e. Decayed (D), Missing (M), Filled (F)). The DMFT index data contains many zeros were analyzed with Zero Inflated Poisson (ZIP) and Zero Inflated Negative Binomial (ZINB) models. Results: The study findings indicated, the variables such as family size, frequency of brushing and duration of change of toothbrush were positively associated with dental caries. But the variable the frequency of sweet consumption is negatively associated with dental caries experience in Zero Inflated Poisson (ZIP) and Zero Inflated Negative Binomial (ZINB) models. Conclusions: The ZIP model is a very good fit over the standard Poisson model and the ZINB is the better statistical fit compared to the Negative Binomial model. The Zero Inflated Negative Binomial model is better fit over the Zero Inflated Poisson model for modeling the DMF count data.


[FULL TEXT] [PDF]*
Print this article     Email this article

 
 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
  Citation Manager
 Access Statistics
  Reader Comments
  Email Alert *
  Add to My List *
 
 

 Article Access Statistics
    Viewed7385    
    Printed162    
    Emailed3    
    PDF Downloaded159    
    Comments [Add]    
    Cited by others 10    

Recommend this journal