Lemuel A. Moyé

Statistical Reasoning in Medicine (eBook, PDF)

The Intuitive P-Value Primer

• Format: PDF

Produktbeschreibung

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 statistics 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. Added to updated discussions of research design, hypothesis testing, regression analysis, and Bayes procedures are new material on absolute and relative risk, plus a lucid explanation of the Number Needed to Treat (NNT). Varied and nonstandard content makes this a unique volume among introductory statistics books. 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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Produktdetails

• Verlag: Springer US
• Seitenzahl: 302
• Erscheinungstermin: 13. Juni 2007
• Englisch
• ISBN-13: 9780387462127
• Artikelnr.: 37286686

Inhaltsangabe

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 Reasoning, P-values, and the Court.- One-Sided Versus Two-Sided Testing.- Multiple Testing and Combined Endpoints.- Subgroup Analyses.- P-values and Regression Analyses.- Bayesian Analysis: Posterior P-values.

Rezensionen

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)