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 new Bare Essentials reflects 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 Essentials speaks 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
Precise and to the point.
Elements of Statistical Inference
ANALYSIS OF VARIANCE
Principal Components and Factor Analysis Fooling Around with Factors
Path Analysis and Structural Equation Modeling
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
Comparing Two Groups The tTest
More than Two Groups OneWay ANOVA
Two Repeated Observations The Paired tTest and Alternatives
Multivariate ANOVA MANOVA
REGRESSION AND CORRELATION
Simple Regression and Correlation
Advanced Topics in Regression and ANOVA
Analysis of Longitudinal Data Hierarchical Linear Modeling
Equivalence and NonInferiority Testing
Screwups Oddballs and Other Vagaries of Science Locating Outliers Handling Missing Data and Transformations
Putting It All Together
Getting Started with SPSS
Being a Compendium of Questions and Answers
Answers to Chapter Exercises
References and Further Reading
An Unabashed Glossary of Statistical Terms