【摘 要】
：
In longitudinal studies,mixed effects models are useful to address subject-specific behavior.However,random effects are mostly assumed to follow a normal di
【机 构】
：
University of Illinois at Urbana-Champaign
【出 处】
：
2009 International Conference on Financial Statistics and Fi
论文部分内容阅读
In longitudinal studies,mixed effects models are useful to address subject-specific behavior.However,random effects are mostly assumed to follow a normal distribution and therefore it handles correlated binary data poorly.We propose a new approach to estimate fixed and random effects using conditional quadratic inference functions.
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