E-Book, Englisch, 720 Seiten, E-Book
Woolson / Clarke Statistical Methods for the Analysis of Biomedical Data
2. Auflage 2011
ISBN: 978-1-118-03130-8
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 720 Seiten, E-Book
Reihe: Wiley Series in Probability and Statistics
ISBN: 978-1-118-03130-8
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
The new edition adds a chapter on multiple linear regression inbiomedical research, with sections including the multiple linearregressions model and least squares; the ANOVA table, parameterestimates, and confidence intervals; partial f-tests; polynomialregression; and analysis of covariance.
* Organized by problem rather than method, so it guides readers tothe correct technique for solving the problem at hand.
Autoren/Hrsg.
Weitere Infos & Material
Preface to the 1987 Edition.
Preface to the 2002 Edition.
Acknowledgments.
1. Introduction.
2. Descriptive Statistics.
3. Basic Probability Concepts.
4. Further Aspects of Probability for Statistical Inference:Sampling, Probability Distributions, and SamplingDisctributions.
5. Confidence Intervals and Hypothesis Testing: GeneralConsiderations and Applications.
6. Comparison of Two Groups: t-Tests and Rank Tests.
7. Comparison of Two Groups: Chi-Square and RelatedProcedures.
8. Tests of Independence and Measure of Association for Two RandomVariables.
9. Least-Square Regression Methods: Predicting One Variable fromAnother.
10. Comparing More Than Two Groups of Observations: Analysis ofVariance for Comparing Groups.
11. Comparing More Than Two Groups of Observations: Rank Analysisof Variance for Group Comparisons.
12. Comparing More than Two Groups of Observations: Chi-Square andRelated Procedures.
13. Special Topics in Analysis of Epidemiologic and Clinical Data:Studying Association Between a Disease and a Characteristic.
14. Estimation and Comparison of Survival Curves.
15. Multiple Linear Regression Methods: Predicting One Variablefrom Two or More Other Variables.
Appendix.