Regression models for bivariate count outcomes

• Autores: Xinling Xu, James W. Hardin
• Localización: The Stata journal, ISSN 1536-867X, Vol. 16, Nº. 2, 2016, págs. 301-315
• Idioma: inglés
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• Resumen

  • We present a new command, bivcnto, for fitting regression models suitable for analyzing correlated count outcomes. bivcnto allows specification of two correlated count outcomes with either two outcome-specific covariate lists or one common covariate list and fits models using a copula function approach in the general case or using specific parameterizations by Marshall and Olkin (1985, Journal of the American Statistical Association 80: 332–338) or Famoye (2010a, Journal of Applied Statistics 37: 969–981; 2010b, Statistica Neerlandica 64: 112–124). bivcnto also calculates a likelihood-ratio test comparing the joint model with estimation of two independent outcome-specific models.