Biostatistics: The Bare Essentials
This new edition of the book will be produced in two versions. The textbook will include a CD-Rom with two videotaped lectures by the authors.
This book translates biostatistics in the health sciences literature with clarity and irreverence. Students and practitioners alike, applaud Biostatistics as the practical guide that exposes them to every statistical test they may encounter, with careful conceptual explanations and a minimum of algebra.
The newBare Essentialsreflects recent advances in statistics, as well as time-honored methods. For example, “hierarchical linear modeling” which first appeared in psychology journals and only now is described in medical literature. Also new, is a chapter on testing for equivalence and non-inferiority. As well as a chapter with information to get started with the computer statistics program, SPSS.
Free of calculations and jargon,Bare Essentialsspeaks so plainly that you won’t need a technical dictionary. No math, all concepts. The objective is to enable you to determine if the research results are applicable to your own patients.
Throughout the guide, you’ll find highlights of areas in which researchers misuse or misinterpret statistical tests. We have labeled these “C.R.A.P. Detectors” (Convoluted Reasoning and Anti-intellectual Pomposity), which help you to identify faulty methodology and misuse of statistics.
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LibraryThing ReviewUser Review - miki - LibraryThing
I keep a copy of this book in my office to loan out to students who are reviewing for biostatistics exams, and colleagues who feel the need to brush up on their biostats. The book definitely does ... Read full review
The book sucks big time. It is filled with Unnecessary jokes and unexplained formulas and stuff. had really hard time following it
R A P DETECTORS
REGRESSION AND CORRELATION
Simple Regression and Correlation
Path Analysis and Structural Equation Modeling
R A P DETECTORS
Tests of Significance for Categorical Frequency Data
Measures of Association for Categorical Data
Tests of Significance for Ranked Data
Measures of Association for Ranked Data
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