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Bayesian Analysis of Hierarchical Pattern-Mixture Models for Clinical Trials Data with Attrition and Comparisons to Commonly Used Ad-Hoc and Model-Based Approaches

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第一作者： Hakan Demirtas

作者： Hakan Demirtas ^[1]

作者单位： Division of Epidemiology and Biostatistics, University of Illinois at Chicago, Chicago, Illinois, USA ^[1]

关键词 Dropout Multiple imputation Pattern-mixture models Robustness

发布时间 2013-11-20

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Journal of biopharmaceutical statistics

2005年15卷3期

383-402页

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Journal of biopharmaceutical statistics

2005年15卷3期

383-402页

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Bayesian Analysis of Hierarchical Pattern-Mixture Models for Clinical Trials Data with Attrition and Comparisons to Commonly Used Ad-Hoc and Model-Based Approaches

Journal of biopharmaceutical statistics

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Bayesian Analysis of Hierarchical Pattern-Mixture Models for Clinical Trials Data with Attrition and Comparisons to Commonly Used Ad-Hoc and Model-Based Approaches

Journal of biopharmaceutical statistics

相似文献

同项目论文

Journal of biopharmaceutical statistics

相关期刊

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