# Statistical Methods for the Analysis of Biomedical Data

John Wiley & Sons, Jan 25, 2011 - Medical - 712 pages
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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### Contents

 1 Introduction 1 2 Descriptive Statistics 9 3 Basic Probability Concepts 49 4 Further Aspects of Probability 79 5 Confidence Intervals and Hypothesis Testing General Considerations and Applications 119 6 Comparison of Two Groups tTests and Rank Tests 151 7 Comparison of Two Groups ChiSquare and Related Procedures 217 8 Tests of Independence and Measures of Association for Two Random Variables 263
 10 Comparing More than Two Groups of Observations Analysis of Variance for Comparing Groups 359 11 Comparing More than Two Groups of Observations Rank Analysis of Variance for Group Comparisons 417 12 Comparing More than Two Groups of Observations ChiSquare and Related Procedures 441 13 Special Topics in Analysis of Epidemiologic and Clinical Data Studying Association between a Disease and a Characteristic 461 14 Estimation and Comparison of Survival Curves 509 15 Multiple Linear Regression Methods Predicting One Variable from Two or More Other Variables 541 Appendix 623 Topic Index 673

 9 LeastSquares Regression Methods Predicting One Variable from Another 307