Statistics from Scratch

Preface to the 1st EditionPreface to the 2nd EditionIntroductionI Some fundamental stuff1 First things first - the nature of dataII Descriptive statistics2 Describing data with tables3 Describing data with charts4 Describing data from its distributional shape Learning objectives5 Describing data with numeric summary valuesIII Getting the data6 Doing it right first time - designing a study Learning objectivesIV From little to large - statistical inference7 From samples to populations - making inferences Learning objectives8 Chance would be a fine thing- probability, risk and odds Learning objectivesV The informed guess - confidence interval estimation9 Estimating the value of a single population parameter Learning objectives10 Estimating the differences between two population parameters11 Estimating the ratio of two population parameters Learning objectivesVI Putting it to the test12 Testing hypotheses about the difference between two population parameters13 Testing hypotheses about the ratio of two population parameters14 Testing hypotheses about the equality of two or more proportions Learning objectivesVII Getting up close15 Measuring the association between two variables Learning objectives16 Measuring the agreement between two variables Learning objectivesVIII Getting into a relationship17 Straight-line models - linear regression Learning objectives18 Curvy models - logistic regression Learning objectivesIX Two more chapters19 Measuring survival20 Systematic review and meta-analysis

David Bowers, School of Medicine, University of Leeds, UK.