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Informationen zum Autor Robert C. Elston Department of Epidemiology and Biostatistics, Case Western Reserve University, USA. William D. Johnson Pennington Biomedical Research Center, Louisiana State University, USA. Klappentext 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 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, researchers and practitioners from genetics, epidemiology, biology, medical research and statistics will find this an invaluable introduction to statistics. Zusammenfassung 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. Inhaltsverzeichnis Preface ix 1 Introduction: The Role and Relevance of Statistics, Genetics and Epidemiology In Medicine 3 Why Biostatistics? 3 What Exactly is (Are) Statistics? 5 Reasons for Understanding Statistics 6 What Exactly is Genetics? 8 What Exactly is Epidemiology? 10 How Can a Statistician Help Geneticists and Epidemiologists? 11 Disease Prevention versus Disease Therapy 12 A Few Examples: Genetics, Epidemiology and Statistical Inference 12 Summary 14 References 15 2 Populations, Samples, and Study Design 19 The Study of Cause and Effect 19 Populations, Target Populations and Study Units 21 Probability Samples and Randomization 23 Observational Studies 25 ...
Sommario
Preface.
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.
Relazione
"This is a well written and comprehensive review of the basic (and not so basic) concepts and techniques in biostatistics. It is understandable to biologists and clinicians, while still providing useful pointers and reminders to statisticians. It is worth a place on the bookshelves of all researchers in genetics, regardless of their statistical expertise." ( Human Genetics, February 2010)
