Fast Facts: Medical Statistics
Understanding clinical trial results
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Using real examples from oncology trials, but keeping it simple, this concise resource explains the basic principles of medical statistics so that you can better appraise clinical trial results. Key concepts covered in this book include: - hypothesis testing - Kaplan-Meier curves and other graphic representations of data - calculating the power of a study - the stopping rules for efficacy and futility. ' Fast Facts: Medical Statistics' is aimed at all clinicians, clinical scientists, medical writers and regulatory personnel who need a better understanding of the statistical terms and methods u...
Using real examples from oncology trials, but keeping it simple, this concise resource explains the basic principles of medical statistics so that you can better appraise clinical trial results. Key concepts covered in this book include: - hypothesis testing - Kaplan-Meier curves and other graphic representations of data - calculating the power of a study - the stopping rules for efficacy and futility. ' Fast Facts: Medical Statistics' is aimed at all clinicians, clinical scientists, medical writers and regulatory personnel who need a better understanding of the statistical terms and methods used in the planning of studies and the analysis of clinical trial data. If you have ever wanted to know what a type I error is, how an odds ratio is calculated or what a forest plot is really all about, then this is the book for you. Contents: - Statistical inference - Analysis of time-to-event endpoints - Power and sample size - Multiplicity - Interim analysis - Modeling - Graphical methods
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