E-Book, Englisch, 896 Seiten, E-Book
van Belle / Fisher / Heagerty Biostatistics
2. Auflage 2004
ISBN: 978-0-471-60235-4
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
A Methodology For the Health Sciences
E-Book, Englisch, 896 Seiten, E-Book
Reihe: Wiley Series in Probability and Statistics
ISBN: 978-0-471-60235-4
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
A respected introduction to biostatistics, thoroughly updated andrevised
The first edition of Biostatistics: A Methodology for the HealthSciences has served professionals and students alike as a leadingresource for learning how to apply statistical methods to thebiomedical sciences. This substantially revised Second Editionbrings the book into the twenty-first century for today'saspiring and practicing medical scientist.
This versatile reference provides a wide-ranging look at basicand advanced biostatistical concepts and methods in a formatcalibrated to individual interests and levels of proficiency.Written with an eye toward the use of computer applications, thebook examines the design of medical studies, descriptivestatistics, and introductory ideas of probability theory andstatistical inference; explores more advanced statistical methods;and illustrates important current uses of biostatistics.
New to this edition are discussions of
* Longitudinal data analysis
* Randomized clinical trials
* Bayesian statistics
* GEE
* The bootstrap method
Enhanced by a companion Web site providing data sets, selectedproblems and solutions, and examples from such current topics asHIV/AIDS, this is a thoroughly current, comprehensive introductionto the field.
Autoren/Hrsg.
Weitere Infos & Material
Preface to the First Edition.
Preface to the Second Edition.
1. Introduction to Biostatistics.
2. Biostatistical Design of Medical Studies.
3. Descriptive Statistics.
4. Statistical Inference: Populations and Samples.
5. One- and Two-Sample Inference.
6. Counting Data.
7. Categorical Data: Contingency Tables.
8. Nonparametric, Distribution-Free and Permutation Models:Robust Procedures.
9. Association and Prediction: Linear Models with One PredictorVariable.
10. Analysis of Variance.
11. Association and Prediction: Multiple Regression Analysis,Linear Models with Multiple Predictor Variables.
12. Multiple Comparisons.
13. Discrimination and Classification.
14. Principal Component Analysis and Factor Analysis.
15. Rates and Proportions.
16. Analysis of the Time to an Event: Survival Analysis.
17. Sample Sizes for Observational Studies.
18. Longitudinal Data Analysis.
19. Randomized Clinical Trials.
20. A Personal Postscript.
Appendix.
Author Index.
Subject Index.
Symbol Index.