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 1โ8):
Chapter 2 Descriptive Statistics (pages 9โ48):
Chapter 3 Basic Probability Concepts (pages 49โ77):
Chapter 4 Further Aspects of Probability (pages 79โ118):
Chapter 5 Confidence Intervals and Hypothesis Testing: General Considerations and Applications (pages 119โ149):
Chapter 6 Comparison of Two Groups: t?Tests and Rank Tests (pages 151โ216):
Chapter 7 Comparison of Two Groups: Chi?Square and Related Procedures (pages 217โ262):
Chapter 8 Tests of Independence and Measures of Association for Two Random Variables (pages 263โ306):
Chapter 9 Least?Squares Regression Methods: Predicting One Variable from Another (pages 307โ357):
Chapter 10 Comparing More than Two Groups of Observations: Analysis of Variance for Comparing Groups (pages 359โ415):
Chapter 11 Comparing More than Two Groups of Observations: Rank Analysis of Variance for Group Comparisons (pages 417โ439):
Chapter 12 Comparing More than Two Groups of Observations: Chi?Square and Related Procedures (pages 441โ460):
Chapter 13 Special Topics in Analysis of Epidemiologic and Clinical Data: Studying Association between a Disease and a Characteristic (pages 461โ507):
Chapter 14 Estimation and Comparison of Survival Curves (pages 509โ540):
Chapter 15 Multiple Linear Regression Methods: Predicting One Variable from Two or More Other Variables (pages 541โ622):