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English
Wiley-Blackwell
04 October 2019
Series: At a Glance
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.

By:   , ,
Imprint:   Wiley-Blackwell
Country of Publication:   United States
Edition:   4th edition
Dimensions:   Height: 274mm,  Width: 213mm,  Spine: 13mm
Weight:   567g
ISBN:   9781119167815
ISBN 10:   1119167817
Series:   At a Glance
Pages:   208
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Preface ix Part 1 Handling data 1 1 Types of data 2 2 Data entry 4 3 Error checking and outliers 6 4 Displaying data diagrammatically 8 5 Describing data: the ‘average’ 10 6 Describing data: the ‘spread’ 12 7 Theoretical distributions: the Normal distribution 14 8 Theoretical distributions: other distributions 16 9 Transformations 18 Part 2 Sampling and estimation 21 10 Sampling and sampling distributions 22 11 Confidence intervals 24 Part 3 Study design 27 12 Study design I 28 13 Study design II 31 14 Clinical trials 34 15 Cohort studies 37 16 Case–control studies 40 Part 4 Hypothesis testing 43 17 Hypothesis testing 44 18 Errors in hypothesis testing 47 Part 5 Basic techniques for analysing data 51 Numerical data 19 Numerical data: a single group 52 20 Numerical data: two related groups 54 21 Numerical data: two unrelated groups 57 22 Numerical data: more than two groups 60 Categorical data 23 Categorical data: a single proportion 63 24 Categorical data: two proportions 66 25 Categorical data: more than two categories 69 Regression and correlation 26 Correlation 72 27 The theory of linear regression 75 28 Performing a linear regression analysis 77 29 Multiple linear regression 81 30 Binary outcomes and logistic regression 85 31 Rates and Poisson regression 89 32 Generalized linear models 93 33 Explanatory variables in statistical models 96 Important considerations 34 Bias and confounding 100 35 Checking assumptions 104 36 Sample size calculations 107 37 Presenting results 111 Part 6 Additional chapters 115 38 Diagnostic tools 116 39 Assessing agreement 119 40 Evidence-based medicine 124 41 Methods for clustered data 127 42 Regression methods for clustered data 130 43 Systematic reviews and meta-analysis 134 44 Survival analysis 138 45 Bayesian methods 142 46 Developing prognostic scores 144 Appendices 147 A Statistical tables 148 B Altman’s nomogram for sample size calculations (Chapter 36) 155 C Typical computer output 156 D Checklists and trial profile from the EQUATOR network and critical appraisal templates 169 E Glossary of terms 178 F Chapter numbers with relevant multiple-choice questions and structured questions from Medical Statistics at a Glance Workbook 188 Index 190

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.

Reviews for Medical Statistics at a Glance

Published Reviews of the 2nd Edition ''...I unreservedly recommend this book to all medical students, especially those that dislike reading reams of text. This is one book that will not sit on your shelf collecting dust once you have graduated and will also function as a reference book. 4th Year Medical Student. Barts and the London Chronicle, Spring 2003, vol.5, issue 1 Published Reviews of the 2nd Edition ''...I unreservedly recommend this book to all medical students, especially those that dislike reading reams of text. This is one book that will not sit on your shelf collecting dust once you have graduated and will also function as a reference book. 4th Year Medical Student. Barts and the London Chronicle, Spring 2003, vol.5, issue 1 Published Reviews of the 2nd Edition ''...I unreservedly recommend this book to all medical students, especially those that dislike reading reams of text. This is one book that will not sit on your shelf collecting dust once you have graduated and will also function as a reference book. 4th Year Medical Student. Barts and the London Chronicle, Spring 2003, vol.5, issue 1


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