Medical Statistics at a Glance Workbook (At a Glance) by Aviva Petrie

Description: This comprehensive workbook contains a variety of self-assessment methods that allow readers to test their statistical knowledge, put it into practice, and apply it in a medical context, while also providing guidance when critically appraising published literature. It is designed to support the best-selling third edition of Medical Statistics at a Glance, to which it is fully cross-referenced, but may be used independently of it. Ideal for medical students, junior doctors, researchers and anyone working in the biomedical and pharmaceutical disciplines who wants to feel more confident in basic medical statistics, the title includes: * Over 80 MCQs, each testing knowledge of a single statistical concept or aspect of study interpretation * 29 structured questions to explore in greater depth several statistical techniques or principles, including the choice of appropriate statistical analyses and the interpretation of study findings * Templates for the appraisal of clinical trials and observational studies, plus full appraisals of two published papers to demonstrate the use of these templates in practice * Detailed step-by-step analyses of two substantial data sets (also available at to demonstrate the application of statistical procedures to real-life research Medical Statistics at a Glance Workbook is the ideal resource to test statistical knowledge and improve analytical and interpretational skills. Additional resources are available at , including: * Excel datasets to accompany the data analysis section * Downloadable PDFs of two templates for critical appraisal * Links to online further reading * Supplementary MCQs Aviva Petrie is Head of Biostatistics Unit and Senior Lecturer, Eastman Dental Institute, University College London; Honorary Lecturer in Medical Statistics, Medical Statistics Unit, London School of Hygiene and Tropical Medicine Caroline Sabin is Professor of Medical Statistics and Epidemiology, Research Department of Infection and Population Health, Division of Population Health, University College London, Royal Free Campus Introduction Part 1: MCQs Handling data Sampling and estimation Study design Hypothesis testing Basic techniques for analysing data Additional techniques Part 2: Structured Questions Part 3: Critical appraisal Randomised controlled trial: template Paper 1: a randomised controlled trial Observational study: template Paper 2: an observational study Part 4: Data analysis Dataset 1 analysed by Stata v11 Dataset 2 analysed using IBM SPSS Statistics v20 Part 5: Solutions Solutions to MCQs Model answers for structured questions Critical appraisal of Paper 1 Critical appraisal of Paper 2 Appendices Appendix I: List of MCQs with relevant chapters from Medical Statistics at a Glance (3rd edn) and associated topics Appendix II: List of structured questions with relevant chapters from Medical Statistics at a Glance (3rd edn) and associated topics Appendix III: Chapters from Medical Statistics at a Glance with relevant MCQs and Structured questions

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