Statistical Reasoning in Medicine: The Intuitive P-Value Primer

Paperback | August 16, 2006

byLemuel A. Moyé

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The 2nd Edition of this popular book emphasizes patient and community protection, illustrates the correct use of statistics in health care research for healthcare workers and adds considerable new and updated information. The new edition smooths the learning curve for health care researchers, further de-emphasizing mathematical and computational devices and bringing the principles of statistical reasoning into reach for the uninitiated. New figures, discussion and illustrations fortify each chapter. In addition, three new appendices have been added on the normal distribution, sample size computations, and new requirements for the use of statistics in the courtroom.

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From the Publisher

The 2nd Edition of this popular book emphasizes patient and community protection, illustrates the correct use of statistics in health care research for healthcare workers and adds considerable new and updated information. The new edition smooths the learning curve for health care researchers, further de-emphasizing mathematical and com...

From the Jacket

Lowers the Learning Curve for Physicians and Researchers! The successful Statistical Reasoning in Medicine: The Intuitive P-value Primer, with its novel emphasis on patient and community protection, illustrated the correct use of statistics in health care research for healthcare workers. Through clear explanations and examples, this bo...

Format:PaperbackDimensions:322 pages, 9.25 × 6.1 × 0 inPublished:August 16, 2006Publisher:Springer New YorkLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0387329137

ISBN - 13:9780387329130

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Table of Contents

Prologue.- The Basis of Statistical Reasoning in Medicine.- Search Versus Research.- A Hypothesis Testing Primer.- Mistaken Identity: P-Values in Epidemiology.- Shrine Worship.- P-Values, Power, and Efficacy.- Scientific Reasoing, P-Values, and the Court.- One-Sided Versus Two-Sided Testing.- Multiple Testing and Combined Endpoints.- Subgroup Analysis.- P-Values and Regression Analyses.- Bayesian Analysis: Posterior P-Values.

Editorial Reviews

From the reviews of the second edition:"This book presents statisitical principles for health-care workers without previous statsitical training beyond an introductory course in applied statistics. The exposition uses nonmathematical language and rich examples in explaining the correct use of many statistical methods, interpretations of p values, and the results of clinical studies. Although intended for health-care workers, this book will help nonstatisticians better understand statistics in medical research, especially those looking to intepret statistical findings more scientifically." (Peng Huang, The American Statistician, Vol. 61, No. 3, 2007)"This book's purpose is a nonmathematical access on statistical inference and p-values in health care research as well as on core principles of research design. It is organized in 12 chapters and 3 appendices. Each chapter is accompanied by a conclusion section, a reference list and numerous entertaining real and hypothetical examples. . In summary, this text book retains the intended nonmathematical readership and provides an entertaining introduction to the principles of statistical reasoning." (Iris Burkholder, Zentralblatt MATH, Vol. 1111 (8), 2007)