Covariate Dependent Markov Models for Analysis of Repeated Binary Outcomes
نویسندگان
چکیده
منابع مشابه
طراحی شبکه عصبی مصنوعی برای مدلبندی پاسخهای دو متغیره آمیخته و کاربرد آن در دادههای پزشکی
Background & Objective: Mixed outcomes arise when, in a multivariate model, response variables measured on different scales such as binary and continuous. Artificial neural networks (ANN) can be used for modeling in situations where classic models have restricted application when some of their assumptions are not met. In this paper, we propose a method based on ANNs for modeling mixed binary a...
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