Statistical Methods For The Analysis Of Biomedical Data Second Edition Robert F Woolson by Robert F. Woolson, William R. Clarke(auth.) 9780471394051, 9781118033050, 047139405X, 1118033051 instant download after payment.

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.Content:
Chapter 1 Introduction (pages 1–8):
Chapter 2 Descriptive Statistics (pages 9–48):
Chapter 3 Basic Probability Concepts (pages 49–77):
Chapter 4 Further Aspects of Probability (pages 79–118):
Chapter 5 Confidence Intervals and Hypothesis Testing: General Considerations and Applications (pages 119–149):
Chapter 6 Comparison of Two Groups: t?Tests and Rank Tests (pages 151–216):
Chapter 7 Comparison of Two Groups: Chi?Square and Related Procedures (pages 217–262):
Chapter 8 Tests of Independence and Measures of Association for Two Random Variables (pages 263–306):
Chapter 9 Least?Squares Regression Methods: Predicting One Variable from Another (pages 307–357):
Chapter 10 Comparing More than Two Groups of Observations: Analysis of Variance for Comparing Groups (pages 359–415):
Chapter 11 Comparing More than Two Groups of Observations: Rank Analysis of Variance for Group Comparisons (pages 417–439):
Chapter 12 Comparing More than Two Groups of Observations: Chi?Square and Related Procedures (pages 441–460):
Chapter 13 Special Topics in Analysis of Epidemiologic and Clinical Data: Studying Association between a Disease and a Characteristic (pages 461–507):
Chapter 14 Estimation and Comparison of Survival Curves (pages 509–540):
Chapter 15 Multiple Linear Regression Methods: Predicting One Variable from Two or More Other Variables (pages 541–622):