Medical Statistics from Scratch: An Introduction for Health Professionals

Preface to the 4th Edition Preface to the 3rd Edition Preface to the 2nd Edition Preface to the 1st Edition Introduction I Some Fundamental Stuff 1 First things first - the nature of data II Descriptive Statistics 2 Describing data with tables 3 Every picture tells a story - describing data with charts 4 Describing data from its shape 5 Measures of location - Numbers R Us 6 Measures of spread - Numbers R Us (again) 7 Incidence, prevalence, and standardisation III The Confounding Problem 8 Confounding - like the poor, (nearly) always with us IV Design and Data 9 Research design - Part I: Observational study designs 10 Research design - Part II: Getting stuck in - experimental studies 11 Getting the participants for your study: ways of sampling V Chance Would be a Fine Thing 12 The idea of probability 13 Risk and odds VI The Informed Guess - An Introduction to Confidence Intervals 14 Estimating the value of a single population parameter - the idea of confidence intervals 15 Using confidence intervals to compare two population parameters 16 Confidence intervals for the ratio of two population parameters VII Putting it to the Test 17 Testing hypotheses about the difference between two population parameters 18 The chi-squared (chi2) test - what, why, and how? 19 Testing hypotheses about the ratio of two population parameters VIII Becoming Acquainted 20 Measuring the association between two variables 21 Measuring agreement IX Getting into a Relationship 22 Straight line models: linear regression 23 Curvy models: Logistic regression 24 Counting models: Poisson regression X Three More Chapters 25 Measuring survival 26 Systematic review and meta-analysis 27 Diagnostic testing 28 Missing data Appendix: Table of random numbers References Solutions to Exercises Index