Basic Biostatistics for Geneticists and Epidemiologists
A Practical Approach
1. Edition October 2008
384 Pages, Softcover
Practical Approach Book
Short Description
A revised edition of Essentials of Biostatistics, Basic Biostatistics for Geneticists and Epidemiologists: A Practical Approach uses examples of computer code, practice exercises, and pictorial representations to teach those with little or no statistical background the skills necessary to understand research literature in genetics and epidemiology. Unlike other elementary biostatistics texts, this book explains fundamental concepts without the complications of computational details. With additional access to an accompanying website, this updated text provides graduate students, researchers and practitioners the knowledge necessary to understand research literature.
Anyone who attempts to read genetics or epidemiology research literature needs to understand the essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics, the main focus this fast moving field. Unlike many other elementary books on biostatics, the main focus of this book is to explain basic concepts needed to understand statistical procedures.
This Book:
* Surveys basic statistical methods used in the genetics and epidemiology literature, including maximum likelihood and least squares.
* Introduces methods, such as permutation testing and bootstrapping, that are becoming more widely used in both genetic and epidemiological research.
* Is illustrated throughout with simple examples to clarify the Statistical 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 with high school mathematics will find the content accessible. Graduate students studying genetic epidemiology, researches and practitioners from genetics, epidemiology, biology, medical research and statistics will find this an invaluable introduction to statistics.
1. Introduction: The role and Relevance of Statistics, Genetics and 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 Multiple Hypotheses.
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.
