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eBook details

• Title: Statistics in Medicine (Enhanced Edition)
• Author : Robert H. Riffenburgh
• Release Date : January 29, 2011
• Genre: Mathematics,Books,Science & Nature,Professional & Technical,Engineering,Health, Mind & Body,Psychology,Nonfiction,Social Science,Biology,Medical,
• Pages : * pages
• Size : 15304 KB

Description

Medicine deals with treatments that work often but not always, so treatment success must be based on probability. Statistical methods lift medical research from the anecdotal to measured levels of probability. This book presents the common statistical methods used in 90% of medical research, along with the underlying basics, in two parts: a textbook section for use by students in health care training programs, e.g., medical schools or residency training, and a reference section for use by practicing clinicians in reading medical literature and performing their own research. The book does not require a significant level of mathematical knowledge and couches the methods in multiple examples drawn from clinical medicine, giving it applicable context.Easy-to-follow format incorporates medical examples, step-by-step methods, and check yourself exercisesTwo-part design features course material and a professional reference sectionChapter summaries provide a review of formulas, method algorithms, and check listsCompanion site links to statistical databases that can be downloaded and used to perform the exercises from the book and practice statistical methods New in this Edition: New chapters on: multifactor tests on means of continuous data, equivalence testing, and advanced methodsNew topics include: trial randomization, treatment ethics in medical research, imputation of missing data, and making evidence-based medical decisionsUpdated database coverage and additional exercisesExpanded coverage of numbers needed to treat and to benefit, and regression analysis including stepwise regression and Cox regressionThorough discussion on required sample size

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