Elston / Johnson Basic Biostatistics for Geneticists and Epidemiologists

A Practical Approach
1. Auflage 2008
ISBN: 978-0-470-02491-1
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 384 Seiten, E-Book

Anyone who attempts to read genetics or epidemiology researchliterature needs to understand the essentials of biostatistics.This book, a revised new edition of the successful Essentials ofBiostatistics has been written to provide such an understandingto those who have little or no statistical background and who needto keep abreast of new findings in this fast moving field. Unlikemany other elementary books on biostatistics, the main focus ofthis book is to explain basic concepts needed to understandstatistical procedures.

This Book:

* Surveys basic statistical methods used in the genetics andepidemiology literature, including maximum likelihood and leastsquares.

* Introduces methods, such as permutation testing andbootstrapping, that are becoming more widely used in both geneticand epidemiological research.

* Is illustrated throughout with simple examples to clarify thestatistical methodology.

* Explains Bayes' theorem pictorially.

* Features exercises, with answers to alternate questions,enabling use as a course text.

Written at an elementary mathematical level so that readers withhigh school mathematics will find the content accessible. Graduatestudents studying genetic epidemiology, researchers andpractitioners from genetics, epidemiology, biology, medicalresearch and statistics will find this an invaluable introductionto statistics.

Autoren/Hrsg.

Elston, Robert C.

Johnson, William

Inhaltsverzeichnis

Preface.
1. Introduction: The role and Relevance of Statistics, Geneticsand Epidemiology In Medicine.
2. Populations, Samples, and Study Design.
3. Descriptive Statistics.
4. The Laws of Probability.
5. Random Variables and Distributions.
6. Estimates and Confidence Limits.
7. Significance Tests and Tests of Hypotheses.
8. Likelihood Ratios, Bayesian Methods and MultipleHypotheses.
9. The Many Uses of Chi-Square.
10. Correlation and Regression.
11. Analysis of Variance and Linear Models.
12. Some Specialized Techniques.
13. Guides to a Critical Evaluation of Published Reports.
Epilogue.
Review Problems.
Answers to Odd-Numbered Problems.
Appendix.
Index.