A Bayesian Approach for Estimating Antiviral Efficacy in HIV Dynamic Models

YANGXIN HUANG; HULIN WU

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A Bayesian Approach for Estimating Antiviral Efficacy in HIV Dynamic Models

机译：贝叶斯方法估计HIV动态模型中的抗病毒效力

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The study of HIV dynamics is one of the most important developments in recent AIDS research. It has led to a new understanding of the pathogenesis of HIV infection. Although important findings in HIV dynamics have been published in prestigious scientific

机译：HIV动态研究是最近艾滋病研究中最重要的发展之一。它导致人们对HIV感染的发病机理有了新的认识。尽管有关艾滋病毒动力学的重要发现已在著名的科学杂志上发表

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《Journal of applied statistics》 |2006年第2期|p.155-174|共20页
作者
YANGXIN HUANG; HULIN WU;
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作者单位

Department of Epidemiology & Biostatistics, College of Public Health, University of South Florida, Tampa, Florida, USA;

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原文格式 PDF
正文语种 eng
中图分类统计学;
关键词
bayesian mixed-effects models; drug efficacy; drug resistance; HIV; MCMC; viral dynamics;

机译：贝叶斯混合效应模型;药物疗效;耐药性;HIV;MCMC;病毒动力学;

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A Bayesian Approach for Estimating Antiviral Efficacy in HIV Dynamic Models

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