# Biostatistics: The Bare Essentials

PMPH-USA, Sep 15, 2007 - Medical - 393 pages
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.

What’s New?

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 Review

User 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

User Review - Flag as inappropriate

Precise and to the point.

### Contents

 The Basics 2 Looking at the Data A First Look at Graphing Data 7 Describing the Data with Numbers Measures of Central Tendency and Dispersion 19 The Normal Distribution 31 Probability 37 Elements of Statistical Inference 46 CRAP DETECTORS 63 ANALYSIS OF VARIANCE 69
 Principal Components and Factor Analysis Fooling Around with Factors 194 Path Analysis and Structural Equation Modeling 210 CRAP DETECTORS 229 NONPARAMETRIC STATISTICS 233 Tests of Significance for Categorical Frequency Data 235 Measures of Association for Categorical Data 253 Tests of Significance for Ranked Data 260 Measures of Association for Ranked Data 268

 Comparing Two Groups The tTest 70 More than Two Groups OneWay ANOVA 77 Factorial ANOVA 90 Two Repeated Observations The Paired tTest and Alternatives 101 RepeatedMeasures ANOVA 107 Multivariate ANOVA MANOVA 117 CRAP DETECTORS 128 REGRESSION AND CORRELATION 131 Simple Regression and Correlation 132 Multiple Regression 143 Logistic Regression 159 Advanced Topics in Regression and ANOVA 167 Measuring Change 177 Analysis of Longitudinal Data Hierarchical Linear Modeling 186
 Survival Analysis 274 CRAP DETECTORS 290 REPRISE 295 Equivalence and NonInferiority Testing 296 Screwups Oddballs and Other Vagaries of Science Locating Outliers Handling Missing Data and Transformations 302 Putting It All Together 313 Getting Started with SPSS 320 Being a Compendium of Questions and Answers 331 Answers to Chapter Exercises 336 References and Further Reading 347 An Unabashed Glossary of Statistical Terms 355 Appendix 357 Index 381 Copyright