Binary regression with stochastic covariates

Oral E.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, cilt.35, sa.8, ss.1429-1447, 2006 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 35 Sayı: 8
  • Basım Tarihi: 2006
  • Doi Numarası: 10.1080/03610920600637123
  • Dergi Adı: COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1429-1447
  • Anahtar Kelimeler: binary data, logistic regression, modified maximum likelihood, non-normality, order statistics, stochastic covariate, MAXIMUM-LIKELIHOOD, NONNORMAL REGRESSION, DISTRIBUTIONS, PARAMETERS, MODELS
  • Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

In binary regression the risk factor X has been treated in the literature as a non-stochastic variable. In most situations, however, X is stochastic. We present solutions applicable to such situations. We show that our solutions are more precise than those obtained by treating X as non-stochastic when, in fact, it is stochastic.