Medical Statistics by Jennifer Peat - Belinda Barton

Aims to equip you with the statistical tools required for evidence-based clinical research. This work shows you how to: analyse data with the help of data set examples; select the correct statistics and report results for publication or presentation; and, understand and critically appraise results reported in the literature. Top page

Complete description

This work offers a 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. This work shows you how to: analyse data with the help of data set examples; select the correct statistics and report results for publication or presentation; and, understand and critically appraise results reported in the literature. Each 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. Top page

General info

Publisher & Imprint: Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)

City: Chicester

Pages: 336

More info: height 234 mm width 158 mm weight 636 gr

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Age recommended: Professional and scholarly

Summary Medical Statistics 1 Data management: preparing to analyse the data.2 Continuous variables: descriptive statistics.3 Continuous variables: comparing two independent samples.4 Continuous variables: paired and one-sample t-tests.5 Continuous variables: analysis of variance.6 Continuous data analyses: correlation and regression.7 Categorical variables: rates and proportions.8 Categorical variables: risk statistics.9 Categorical and continuous variables: test of agreement.10 Categorical and continuous variables: diagnostic statistics.11 Categorical and continuous variables: survival analysis Top page

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