Product details
- ISBN 9781119167815
- Weight: 567g
- Dimensions: 213 x 274mm
- Publication Date: 04 Oct 2019
- Publisher: John Wiley and Sons Ltd
- Publication City/Country: GB
- Product Form: Paperback
- Language: English
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Now in its fourth edition, Medical Statistics at a Glance is a concise and accessible introduction to this complex subject. It provides clear instruction on how to apply commonly used statistical procedures in an easy-to-read, comprehensive and relevant volume. This new edition continues to be the ideal introductory manual and reference guide to medical statistics, an invaluable companion for statistics lectures and a very useful revision aid.
This new edition of Medical Statistics at a Glance:
- Offers guidance on the practical application of statistical methods in conducting research and presenting results
- Explains the underlying concepts of medical statistics and presents the key facts without being unduly mathematical
- Contains succinct self-contained chapters, each with one or more examples, many of them new, to illustrate the use of the methodology described in the chapter.
- Now provides templates for critical appraisal, checklists for the reporting of randomized controlled trials and observational studies and references to the EQUATOR guidelines for the presentation of study results for many other types of study
- Includes extensive cross-referencing, flowcharts to aid the choice of appropriate tests, learning objectives for each chapter, a glossary of terms and a glossary of annotated full computer output relevant to the examples in the text
- Provides cross-referencing to the multiple choice and structured questions in the companion Medical Statistics at a Glance Workbook
Medical Statistics at a Glance is a must-have text for undergraduate and post-graduate medical students, medical researchers and biomedical and pharmaceutical professionals.
Aviva Petrie is Honorary Associate Professor, Biostatistics Unit, UCL Eastman Dental Institute, London, UK.
Caroline Sabin is Professor of Medical Statistics and Epidemiology, Department of Primary Care and Population Sciences, Royal Free and University College Medical School, London, UK.