Holistic approach to understanding medical statisticsThis hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based clinical research.Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs.Showing you how to:· analyse data with the help of data set examples· select the correct statistics and report results for publication or presentation· understand and critically appraise results reported in the literatureEach statistical test is linked to the research question and the type of study design used. There are also checklists for critically appraising the literature and web links to useful internet sites.Clear and concise explanations, combined with plenty of examples and tabulated explanations are based on the authors' popular medical statistics courses. Critical appraisal guidelines at the end of each chapter help the reader evaluate the statistical data in their particular contexts.
Holistic approach to understanding medical statistics This hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based clinical research.Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs.Showing you how to:· analyse data with the help of data set examples· select the correct statistics and report results for publication or presentation· understand and critically appraise results reported in the literatureEach statistical test is linked to the research question and the type of study design used. There are also checklists for critically appraising the literature and web links to useful internet sites.Clear and concise explanations, combined with plenty of examples and tabulated explanations are based on the authors' popular medical statistics courses. Critical appraisal guidelines at the end of each chapter help the reader evaluate the statistical data in their particular contexts.

Ch. 1 Data management : preparing to analyse the data 1
Ch. 2 Continuous variables : descriptive statistics 24
Ch. 3 Continuous variables : comparing two independent samples 51
Ch. 4 Continuous variables : paired and one-sample t-tests 86
Ch. 5 Continuous variables : analysis of variance 108
Ch. 6 Continuous data analyses : correlation and regression 156
Ch. 7 Categorical variables : rates and proportions 202
Ch. 8 Categorical variables : risk statistics 241
Ch. 9 Categorical and continuous variables : tests of agreement 267
Ch. 10 Categorical and continuous variables : diagnostic statistics 278
Ch. 11 Categorical and continuous variables : survival analyses 296