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Titlebook: Applied Statistics in Biomedicine and Clinical Trials Design; Selected Papers from Zhen Chen,Aiyi Liu,Yi Tsong Conference proceedings 2015

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發(fā)表于 2025-3-21 19:01:38 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applied Statistics in Biomedicine and Clinical Trials Design
期刊簡稱Selected Papers from
影響因子2023Zhen Chen,Aiyi Liu,Yi Tsong
視頻videohttp://file.papertrans.cn/161/160168/160168.mp4
發(fā)行地址Separated into 6 parts that cover Bayesian Methods in Biomedical Research, Diagnostic Medicine, Innovative Clinical Trials Design, Modelling and Data Analysis, Personalized Medicine, Statistical Genom
學科分類ICSA Book Series in Statistics
圖書封面Titlebook: Applied Statistics in Biomedicine and Clinical Trials Design; Selected Papers from Zhen Chen,Aiyi Liu,Yi Tsong Conference proceedings 2015
影響因子This volume is a unique combination of papers that cover critical topics in biostatistics from academic, government,?and industry perspectives. The 6 sections cover Bayesian methods in biomedical research; Diagnostic medicine and classification; Innovative Clinical Trials Design; Modelling and Data Analysis; Personalized Medicine; and Statistical Genomics. The real world applications are in clinical trials, diagnostic medicine and genetics. The peer-reviewed contributions were solicited and selected from some 400 presentations?at the annual meeting of the International Chinese Statistical Association (ICSA), held with the International Society for Biopharmaceutical Statistics (ISBS). The conference was held in Bethesda in June 2013, and the material has been subsequently edited and expanded to cover the most recent developments.
Pindex Conference proceedings 2015
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書目名稱Applied Statistics in Biomedicine and Clinical Trials Design影響因子(影響力)




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Derivation of Mathematical Models,l error model assumptions. Extensive simulation studies are conducted to illustrate the effectiveness and the robustness of the proposed methods. A diabetes data set from a diagnostic study is used to demonstrate the application of the new methods.
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Group-Sequential Designs When Considering Two Binary Outcomes as Co-Primary Endpointsiscuss sample size recalculation based on observed interim data. Lastly, we discuss a method for hierarchical hypothesis testing with adaptive type I error allocation in group-sequential designs with co-primary endpoints in order to improve the power of the methods.
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