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A semiparametric nonlinear mixed-effects model with non-ignorable missing data and measurement errors for HIV viral data
澳门新葡8455最新网站:2013年11月05日 00:00 点击数:

报告人:Wei Liu

报告地点:澳门新葡8455最新网站501室

报告澳门新葡8455最新网站:2013年11月05日16:30-17:30

邀请人:

报告摘要:

Semiparametric nonlinear mixed-effects models are very flexible in modeling long-term HIV viral dynamics. In practice, statistical analyses are often complicated due to measurement errors and missing data in covariates and non-ignorable missing data in the responses. We consider likelihood methods which simultaneously address measurement error and missing data problems. A real dataset is analyzed in details, and a simulation study is conducted to evaluate the methods.

主讲人概况:

Prof. Wei Liu,Department of Mathematics and Statistics, York University, Canada

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