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Titlebook: Developments in Statistical Evaluation of Clinical Trials; Kees van Montfort,Johan Oud,Wendimagegn Ghidey Book 2014 Springer-Verlag Berlin

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書目名稱Developments in Statistical Evaluation of Clinical Trials
編輯Kees van Montfort,Johan Oud,Wendimagegn Ghidey
視頻videohttp://file.papertrans.cn/271/270288/270288.mp4
概述Provides an overview of important statistical methods used in clinical trials.Chapters supplemented with a discussion of practical applications.Up-to-date reference for researchers and practitioners i
圖書封面Titlebook: Developments in Statistical Evaluation of Clinical Trials;  Kees van Montfort,Johan Oud,Wendimagegn Ghidey Book 2014 Springer-Verlag Berlin
描述.This book describes various ways of approaching and interpreting the data produced by clinical trial studies, with a special emphasis on the essential role that biostatistics plays in clinical trials..Over the past few decades the role of statistics in the evaluation and interpretation of clinical data has become of paramount importance. As a result the standards of clinical study design, conduct and interpretation have undergone substantial improvement. The book includes 18 carefully reviewed chapters on recent developments in clinical trials and their statistical evaluation, with each chapter providing one or more examples involving typical data sets, enabling readers to apply the proposed procedures. The chapters employ a uniform style to enhance comparability between the approaches.
出版日期Book 2014
關(guān)鍵詞clinical trials; dose adjustment; survival analysis
版次1
doihttps://doi.org/10.1007/978-3-642-55345-5
isbn_softcover978-3-662-52211-0
isbn_ebook978-3-642-55345-5
copyrightSpringer-Verlag Berlin Heidelberg 2014
The information of publication is updating

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Recent Developments in Group-Sequential Designs,detailed description of an R package that implements a quick search procedure. Recent applications of group-sequential methodology to trials with multiple experimental treatments being tested against a single control treatment are also described.
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Different Methods to Analyse the Results of a Randomized Controlled Trial with More Than One FollowThe choice for a particular method depends on the characteristics of the data. For dichotomous outcome variables, an adjustment for baseline differences between the groups is mostly not necessary. Regarding the more advanced statistical techniques it was shown that the effect measures (i.e. odds rat
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Dose-Finding Methods for Two-Agent Combination Phase I Trials,e models and partial orderings across dose levels for two-agent combination trials. We also supply examples of successful software implementations and discuss the operating characteristics of these approaches.
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Multi-state Models Used in Oncology Trials,del and compared to the estimations based on exponentially distributed OS times. These sample size calculations are based on the assumption of piecewise uniformly accrual and exponentially distributed censoring time. The new three-state model approach results in a 10–30?% lower sample size and a cor
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Developments in Statistical Evaluation of Clinical Trials
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Developments in Statistical Evaluation of Clinical Trials978-3-642-55345-5
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