An application of multinomial response models using bayesian approach

Cengiz M. A., Terzi Y., Savas N.

JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS, cilt.12, sa.4, ss.603-611, 2009 (ESCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 12 Sayı: 4
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1080/09720510.2009.10701410
  • Dergi Adı: JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI)
  • Sayfa Sayıları: ss.603-611
  • Anahtar Kelimeler: Bayesian analysis, generalized linear models, multivariate logistic transform, arterial occlusive disease
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

This study focuses on a specific case of Generalized Linear Models for multinomial responses and investigates their analysis using Bayesian methods. The important problem of surgical planning for arterial occlusive disease is considered in some detail, as a medical application of these models. The study investigates the potential benefits which accrue when these ideas are applied to the important medical problem of locating and assessing the severity of lower-limb arterial occlusive disease.