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Statistical Methods for the Analysis of Biomedical Data. Edition No. 2. Wiley Series in Probability and Statistics

  • ID: 2172709
  • Book
  • June 2002
  • 712 Pages
  • John Wiley and Sons Ltd
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The new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance.

Organized by problem rather than method, so it guides readers to the correct technique for solving the problem at hand.
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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 Sampling Disctributions.

5. Confidence Intervals and Hypothesis Testing: General Considerations and Applications.

6. Comparison of Two Groups: t-Tests and Rank Tests.

7. Comparison of Two Groups: Chi-Square and Related Procedures.

8. Tests of Independence and Measure of Association for Two Random Variables.

9. Least-Square Regression Methods: Predicting One Variable from Another.

10. Comparing More Than Two Groups of Observations: Analysis of Variance for Comparing Groups.

11. Comparing More Than Two Groups of Observations: Rank Analysis of Variance for Group Comparisons.

12. Comparing More than Two Groups of Observations: Chi-Square and Related 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 Variable from Two or More Other Variables.

Appendix.
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Robert F. Woolson University of Iowa College of Public Health.

William R. Clarke University of Iowa College of Public Health.
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