A comparison of count data models with an application to daily cigarette consumption of young persons


Tuzen M. F., Erbas S.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, cilt.47, sa.23, ss.5825-5844, 2018 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 47 Sayı: 23
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1080/03610926.2017.1402050
  • Dergi Adı: COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.5825-5844
  • Anahtar Kelimeler: Count data, cigarette consumption, negative binomial regression, Poisson regression, zero-inflated, POISSON REGRESSION, HURDLE MODELS, SELECTION, ZEROS, SMOKING
  • Gazi Üniversitesi Adresli: Evet

Özet

The objective of this study is providing a comparative assessment for researchers to deal with the challenges of analyzing count data and examining the factors associated with daily cigarette consumption among the young people in Turkey. We fitted Poisson (P), negative binomial (NB), zero-inflated Poisson (ZIP), zero-inflated negative binomial (ZINB), Poisson hurdle (PH) and negative binomial hurdle (NBH) regressions to cigarette consumption count data by using the 2014 Turkey Health Survey. Our results showed that the ZINB and NBH models should be preferred. We also found that, gender, employment and tobacco use at home are more effective factors for smokers and nonsmokers in the 15-24 age group in Turkey.