Missing Data in Clinical Studies (Statistics in Practice) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Missing Data in Clinical Studies (Statistics in Practice)

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Geert Molenberghs 作者
Wiley
译者
2007-05-04 出版日期
526 页数
USD 110.00 价格
Hardcover
丛书系列
9780470849811 图书编码

Missing Data in Clinical Studies (Statistics in Practice) 在线电子书 图书标签: 统计学   


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发表于2024-11-25


Missing Data in Clinical Studies (Statistics in Practice) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Missing Data in Clinical Studies (Statistics in Practice) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Missing Data in Clinical Studies (Statistics in Practice) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



Missing Data in Clinical Studies (Statistics in Practice) 在线电子书 用户评价

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废话太多,有用的公式太少。不是很清晰。

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废话太多,有用的公式太少。不是很清晰。

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真的垃圾

评分

废话太多,有用的公式太少。不是很清晰。

评分

废话太多,有用的公式太少。不是很清晰。

Missing Data in Clinical Studies (Statistics in Practice) 在线电子书 著者简介


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Missing Data in Clinical Studies (Statistics in Practice) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Missing Data in Clinical Studies (Statistics in Practice) 在线电子书 图书描述

Missing Data in Clinical Studies provides a comprehensive account of the problems arising when data from clinical and related studies are incomplete, and presents the reader with approaches to effectively address them. The text provides a critique of conventional and simple methods before moving on to discuss more advanced approaches. The authors focus on practical and modeling concepts, providing an extensive set of case studies to illustrate the problems described. Provides a practical guide to the analysis of clinical trials and related studies with missing data. Examines the problems caused by missing data, enabling a complete understanding of how to overcome them. Presents conventional, simple methods to tackle these problems, before addressing more advanced approaches, including sensitivity analysis, and the MAR missingness mechanism. Illustrated throughout with real-life case studies and worked examples from clinical trials. Details the use and implementation of the necessary statistical software, primarily SAS. Missing Data in Clinical Studies has been developed through a series of courses and lectures. Its practical approach will appeal to applied statisticians and biomedical researchers, in particular those in the biopharmaceutical industry, medical and public health organisations. Graduate students of biostatistics will also find much of benefit.

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