Simultaneous Bayesian Inference for Longitudinal Data with Skewness, Detection Limits and Covariates

来源 :The Third IMS-China International Conference on Statistics a | 被引量 : 0次 | 上传用户：aibertini

【摘要】

：

　　In AIDS studies snch as HIV viral dynamics, statistical inference is often complicated because the viral load measurements may be subject to asymmetric (ske

【作者】

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Yangxin Huang Getachew Dagne

【机构】

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UniversityofSouthFloridaDepartmentofEpidemiology&BiostatisticsCollegeofPublicHealthUniversityofSouth

【出处】

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The Third IMS-China International Conference on Statistics a

【发表日期】

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2011年7期

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　　In AIDS studies snch as HIV viral dynamics, statistical inference is often complicated because the viral load measurements may be subject to asymmetric (skewed) characteristics, left censoring due to detection limit and time-varying covariates such as CD4 cell counts may be measured with substantial errors.Norality of model random errors is a routine assumption for mixed-effects models in many longitudinal studies, but it may be unrealistically obscuring important features of subject variations.

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Simultaneous Bayesian Inference for Longitudinal Data with Skewness, Detection Limits and Covariates

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