Overview

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. Medical Statistics at a Glance Workbook 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 www.medstatsaag.com) 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 www.medstatsaag.com, including: Excel datasets to accompany the data analysis section Downloadable PDFs of two templates for critical appraisal Links to online further reading Supplementary MCQs

Full Product Details

Author:   Aviva Petrie (Eastman Dental Institute, University of London) ,  Caroline Sabin (Royal Free Hospital, London)
Publisher:   John Wiley and Sons Ltd
Imprint:   Wiley-Blackwell
Edition:   4th edition
Dimensions:   Width: 15.20cm , Height: 66.60cm , Length: 22.90cm
Weight:   0.964kg
ISBN:  

9781119692126

ISBN 10:   1119692121
Pages:   328
Publication Date:   10 January 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Preface Learning objectives Handling data 1 Types of data 2 Data entry 3 Error checking and outliers 4 Displaying data diagrammatically 5 Describing data: the ‘average’ 6 Describing data: the ‘spread’ 7 Theoretical distributions: the Normal distribution 8 Theoretical distributions: other distributions 9 Transformations Sampling and estimation 10 Sampling and sampling distributions 11 Confidence intervals Study design 12 Study design I 13 Study design II 14 Clinical trials 15 Cohort studies 16 Case–control studies Hypothesis testing 17 Hypothesis testing 18 Errors in hypothesis testing Basic techniques for analysing data Numerical data 19 Numerical data: a single group 20 Numerical data: two related groups 21 Numerical data: two unrelated groups 22 Numerical data: more than two groups Categorical data 23 Categorical data: a single proportion 24 Categorical data: two proportions 25 Categorical data: more than two categories Regression and correlation 26 Correlation 27 The theory of linear regression 28 Performing a linear regression analysis 29 Multiple linear regression 30 Binary outcomes and logistic regression 31 Rates and Poisson regression 32 Generalized linear models 33 Explanatory variables in statistical models Important considerations 34 Bias and confounding 35 Checking assumptions 36 Sample size calculations 37 Presenting results Additional chapters 38 Diagnostic tools 39 Assessing agreement 40 Evidence-based medicine 41 Methods for clustered data 42 Regression methods for clustered data 43 Systematic reviews and meta-analysis 44 Survival analysis 45 Bayesian methods 46 Developing prognostic scores Appendices A Statistical tables B Altman’s nomogram for sample size calculations C Typical computer output D EQUATOR network checklists and critical appraisal templates E Glossary of terms F Chapter numbers with relevant multiple-choice questions and structured questions from Medical Statistics at a Glance Workbook Index Medical Statistics at a Glance Workbook 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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Author Information

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.

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