Modern Clinical Trial Analysis

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Wan Tang, Xin Tu
Springer Science & Business Media, Sep 5, 2012 - Medical - 254 pages
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This volume covers classic as well as cutting-edge topics on the analysis of clinical trial data in biomedical and psychosocial research and discusses each topic in an expository and user-friendly fashion. The intent of the book is to provide an overview of the primary statistical and data analytic issues associated with each of the selected topics, followed by a discussion of approaches for tackling such issues and available software packages for carrying out analyses. While classic topics such as survival data analysis, analysis of diagnostic test data and assessment of measurement reliability are well known and covered in depth by available topic-specific texts, this volume serves a different purpose: it provides a quick introduction to each topic for self-learning, particularly for those who have not done any formal coursework on a given topic but must learn it due to its relevance to their multidisciplinary research. In addition, the chapters on these classic topics will reflect issues particularly relevant to modern clinical trials such as longitudinal designs and new methods for analyzing data from such study designs.

The coverage of these topics provides a quick introduction to these important statistical issues and methods for addressing them. As with the classic topics, this part of the volume on modern topics will enable researchers to grasp the statistical methods for addressing these emerging issues underlying modern clinical trials and to apply them to their research studies.

 

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Contents

Chapter 1 Survival Analysis
x
Chapter 2 Longitudinal Data Analysis
25
Chapter 3 Assessment of Diagnostic Tests and Instruments
55
Chapter 4 Analysis of Sequential Clinical Trials
81
Chapter 5 Dynamic Treatment Regimes
127
Chapter 6 Statistical Issues with Trial Data and Economic Modeling for CostEffectiveness Evaluation
149
Chapter 7 ActiveControlled Clinical Trials
167
Chapter 8 Thorough QTQTc Clinical Trials
183
Chapter 9 Causal Inference in Cancer Clinical Trials
203
Chapter 10 Changing Paradigms in Cancer Clinical Trials
226
Index
247
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