Accurate binary decisions for assessing coronary artery disease

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Cengiz M. A.

Journal of Modern Applied Statistical Methods, cilt.3, sa.1, ss.158-164, 2004 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 3 Sayı: 1
  • Basım Tarihi: 2004
  • Doi Numarası: 10.22237/jmasm/1083370560
  • Dergi Adı: Journal of Modern Applied Statistical Methods
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.158-164
  • Anahtar Kelimeler: Bayesian methods, Coronary artery disease
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

Generalized linear models offer convenient and highly applicable tools for modeling and predicting the behavior of random variables in terms of observable factors and covariates. This paper investigates applications of a special case of generalized linear model to improve the accuracy of predictions and decisions adopting Bayesian methods, in the specific context of assessing coronary artery disease. The basic model is developed for this application using binary response. The results clearly demonstrate the potential advantages offered by this approach. Copyright © 2004 JMASM, Inc.