{"product_id":"medical-statistics-at-a-glance-isbn-9781119167815","title":"Medical Statistics at a Glance","description":"\u003cp\u003eNow in its fourth edition, \u003ci\u003eMedical Statistics at a Glance\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eThis new edition of \u003ci\u003eMedical Statistics at a Glance\u003c\/i\u003e:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eOffers guidance on the practical application of statistical methods in conducting research and presenting results\u003c\/li\u003e \u003cli\u003eExplains the underlying concepts of medical statistics and presents the key facts without being unduly mathematical\u003c\/li\u003e \u003cli\u003eContains 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.\u003c\/li\u003e \u003cli\u003eNow 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\u003c\/li\u003e \u003cli\u003eIncludes 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\u003c\/li\u003e \u003cli\u003eProvides cross-referencing to the multiple choice and structured questions in the companion \u003ci\u003eMedical Statistics at a Glance Workbook\u003c\/i\u003e\n\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eMedical Statistics at a Glance\u003c\/i\u003e is a must-have text for undergraduate and post-graduate medical students, medical researchers and biomedical and pharmaceutical professionals.\u003c\/p\u003e \u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 1 Handling data 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1 Types of data 2\u003c\/p\u003e \u003cp\u003e2 Data entry 4\u003c\/p\u003e \u003cp\u003e3 Error checking and outliers 6\u003c\/p\u003e \u003cp\u003e4 Displaying data diagrammatically 8\u003c\/p\u003e \u003cp\u003e5 Describing data: the ‘average’ 10\u003c\/p\u003e \u003cp\u003e6 Describing data: the ‘spread’ 12\u003c\/p\u003e \u003cp\u003e7 Theoretical distributions: the Normal distribution 14\u003c\/p\u003e \u003cp\u003e8 Theoretical distributions: other distributions 16\u003c\/p\u003e \u003cp\u003e9 Transformations 18\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 2 Sampling and estimation 21\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10 Sampling and sampling distributions 22\u003c\/p\u003e \u003cp\u003e11 Confidence intervals 24\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 3 Study design 27\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12 Study design I 28\u003c\/p\u003e \u003cp\u003e13 Study design II 31\u003c\/p\u003e \u003cp\u003e14 Clinical trials 34\u003c\/p\u003e \u003cp\u003e15 Cohort studies 37\u003c\/p\u003e \u003cp\u003e16 Case–control studies 40\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 4 Hypothesis testing 43\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e17 Hypothesis testing 44\u003c\/p\u003e \u003cp\u003e18 Errors in hypothesis testing 47\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 5 Basic techniques for analysing data 51\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eNumerical data\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e19 Numerical data: a single group 52\u003c\/p\u003e \u003cp\u003e20 Numerical data: two related groups 54\u003c\/p\u003e \u003cp\u003e21 Numerical data: two unrelated groups 57\u003c\/p\u003e \u003cp\u003e22 Numerical data: more than two groups 60\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCategorical data\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e23 Categorical data: a single proportion 63\u003c\/p\u003e \u003cp\u003e24 Categorical data: two proportions 66\u003c\/p\u003e \u003cp\u003e25 Categorical data: more than two categories 69\u003c\/p\u003e \u003cp\u003e\u003cb\u003eRegression and correlation\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e26 Correlation 72\u003c\/p\u003e \u003cp\u003e27 The theory of linear regression 75\u003c\/p\u003e \u003cp\u003e28 Performing a linear regression analysis 77\u003c\/p\u003e \u003cp\u003e29 Multiple linear regression 81\u003c\/p\u003e \u003cp\u003e30 Binary outcomes and logistic regression 85\u003c\/p\u003e \u003cp\u003e31 Rates and Poisson regression 89\u003c\/p\u003e \u003cp\u003e32 Generalized linear models 93\u003c\/p\u003e \u003cp\u003e33 Explanatory variables in statistical models 96\u003c\/p\u003e \u003cp\u003e\u003cb\u003eImportant considerations\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e34 Bias and confounding 100\u003c\/p\u003e \u003cp\u003e35 Checking assumptions 104\u003c\/p\u003e \u003cp\u003e36 Sample size calculations 107\u003c\/p\u003e \u003cp\u003e37 Presenting results 111\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 6 Additional chapters 115\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e38 Diagnostic tools 116\u003c\/p\u003e \u003cp\u003e39 Assessing agreement 119\u003c\/p\u003e \u003cp\u003e40 Evidence-based medicine 124\u003c\/p\u003e \u003cp\u003e41 Methods for clustered data 127\u003c\/p\u003e \u003cp\u003e42 Regression methods for clustered data 130\u003c\/p\u003e \u003cp\u003e43 Systematic reviews and meta-analysis 134\u003c\/p\u003e \u003cp\u003e44 Survival analysis 138\u003c\/p\u003e \u003cp\u003e45 Bayesian methods 142\u003c\/p\u003e \u003cp\u003e46 Developing prognostic scores 144\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendices 147\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA Statistical tables 148\u003c\/p\u003e \u003cp\u003eB Altman’s nomogram for sample size calculations (Chapter 36) 155\u003c\/p\u003e \u003cp\u003eC Typical computer output 156\u003c\/p\u003e \u003cp\u003eD Checklists and trial profile from the EQUATOR network and critical appraisal templates 169\u003c\/p\u003e \u003cp\u003eE Glossary of terms 178\u003c\/p\u003e \u003cp\u003eF Chapter numbers with relevant multiple-choice questions and structured questions from Medical Statistics at a Glance Workbook 188\u003c\/p\u003e \u003cp\u003eIndex 190\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAviva Petrie\u003c\/b\u003e is Honorary Associate Professor, Biostatistics Unit, UCL Eastman Dental Institute, London, UK.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCaroline Sabin\u003c\/b\u003e is Professor of Medical Statistics and Epidemiology, Department of Primary Care and Population Sciences, Royal Free and University College Medical School, London, UK.\u003c\/p\u003e \u003cp\u003eNow in its fourth edition, \u003ci\u003eMedical Statistics at a Glance\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eThis new edition of \u003ci\u003eMedical Statistics at a Glance:\u003c\/i\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eExplains the underlying concepts of medical statistics and presents the key facts without being unduly mathematical\u003c\/li\u003e \u003cli\u003eContains 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.\u003c\/li\u003e \u003cli\u003eNow 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\u003c\/li\u003e \u003cli\u003eIncludes 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\u003c\/li\u003e \u003cli\u003eProvides cross-referencing to the multiple choice and structured questions in the companion \u003ci\u003eMedical Statistics at a Glance Workbook\u003c\/i\u003e\n\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eMedical Statistics at a Glance\u003c\/i\u003e is a must-have text for undergraduate and post-graduate medical students, medical researchers and biomedical and pharmaceutical professionals.\u003c\/p\u003e","brand":"Wiley-Blackwell","offers":[{"title":"Default Title","offer_id":47989602484453,"sku":"NP9781119167815","price":37.5,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119167815.jpg?v=1761784768","url":"https:\/\/k12savings.com\/es\/products\/medical-statistics-at-a-glance-isbn-9781119167815","provider":"K12savings","version":"1.0","type":"link"}