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.

Whats New?

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 wont 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, youll 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.

(McGraw-Hill)

Bli först med att recensera och betygsätt boken Biostatistics: The Bare Essentials - du kan vinna 200 kr varje månad i tävlingen "Månadens recension".

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

(McGraw-Hill)

section the first: the nature of data and statistics

1. The Basics

2. Looking at the Data: A First look at Graphing Data

3. Describing the Data with Numbers: Measures of Central Tendency and Dispersion

4. The Normal Distribution

5. Probability

6. Elements of Statistical Inference

C.R.A.P. DETECTORS

SECTION THE SECOND: ANALYSIS OF VARIANCE

7. Comparing Two Groups: The t-Test

8. More than Two Groups: One-Way ANOVA

9. Factorial ANOVA

10. Two Repeated Observations: he Paired t-Test and Alternatives

11. Repeated-Measures ANOVA

12. Multivariate ANOVA (MANOVA)

C.R.A.P. DETECTORS

SECTION THE THIRD: REGRESSION AND CORRELATION

13. Simple Regression and Correlation

14. Multiple Regression

15. Logistic Regression

16. Advanced Topics in Regression and ANOVA

17. Measuring Change

18. Analysis of Longitudinal Data: Hierarchical Linear Models

19. Principal Components and Factor Analysis: Fooling Around with Factors

20. Path Analysis and Structural Equation Modeling

C.R.A.P. DETECTORS

SECTION THE FOURTH: NONPARAMETRIC STATISTICS

21. Tests of Significance for Categorical Frequency Data

22. Measures of Association for Categorical Data

23. Tests of Significance for Ranked Data

24. Measures of Association for Ranked Data

25. Survival Analysis

C.R.A.P. DETECTORS

SECTION THE FIFTH: REPRISE

26. Equivalence and Non-Inferiority Testing

27. Screwups, Oddballs, and other Vagaries of Science
Locating Outliers, Handling Missing Data, and Transformations

28. Putting it All Together

29. Getting Started with SPSS


Test Yourself (Being a Compendium of Questions and Answers)

Answers to Chapter Exercises

References and Further Reading

Unabashed Glossary

Appendices

Index

(McGraw-Hill)