Preface to the 4th Edition xixPreface to the 3rd Edition xxiPreface to the 2nd Edition xxiiiPreface to the 1st Edition xxvIntroduction xxviiI Some Fundamental Stuff 11 First things first - the nature of data 3II Descriptive Statistics 152 Describing data with tables 173 Every picture tells a story - describing data with charts 314 Describing data from its shape 515 Measures of location - Numbers R Us 626 Measures of spread - Numbers R Us - (again) 757 Incidence, prevalence, and standardisation 92III The Confounding Problem 1118 Confounding - like the poor, (nearly) always with us 113IV Design and Data 1259 Research design - Part I: Observational study designs 12710 Research design - Part II: Getting stuck in - experimental studies 14611 Getting the participants for your study: ways of sampling 156V Chance Would Be a Fine Thing 16512 The idea of probability 16713 Risk and odds 175VI The Informed Guess - An Introduction to Confidence Intervals 19114 Estimating the value of a single population parameter - the idea of confidence intervals 19315 Using confidence intervals to compare two population parameters 20616 Confidence intervals for the ratio of two population parameters 224VII Putting it to the Test 23517 Testing hypotheses about the difference between two population parameters 23718 The Chi-squared (chi²) test - what, why, and how? 26119 Testing hypotheses about the ratio of two population parameters 276VIII Becoming Acquainted 28320 Measuring the association between two variables 28521 Measuring agreement 298IX Getting into a Relationship 30722 Straight line models: linear regression 30923 Curvy models: logistic regression 33424 Counting models: Poisson regression 349X Four More Chapters 36325 Measuring survival 36526 Systematic review and meta-analysis 38027 Diagnostic testing 39328 Missing data 400Appendix: Table of random numbers 414References 415Solutions to exercises 424Index 457
DAVID BOWERS, Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, U