Biostatistics: The Bare Essentials

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PMPH-USA, Sep 15, 2007 - Medical - 393 pages
4 Reviews
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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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

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Precise and to the point.

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Contents

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

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About the author (2007)

Geoffrey Norman PhD Professor, Department of Clinical Epidemiology and Biostatics McMaster University Hamilton, Ontario

David Streiner PhD Assistant Vice President, Research Director Kunin-Lunenfeld Applied Research Unit Baycreat Centre of Geriatric Care Professor, Department of Psychiatry University of Toronto Toronto, Ontario

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