Details

Medical Statistics at a Glance


Medical Statistics at a Glance


At a Glance 4. Aufl.

von: Aviva Petrie, Caroline Sabin

30,99 €

Verlag: Wiley-Blackwell
Format: PDF
Veröffentl.: 23.07.2019
ISBN/EAN: 9781119167822
Sprache: englisch
Anzahl Seiten: 208

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Beschreibungen

<p>Now in its fourth edition, <i>Medical Statistics at a Glance</i> 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.</p> <p>This new edition of <i>Medical Statistics at a Glance</i>:</p> <ul> <li>Offers guidance on the practical application of statistical methods in conducting research and presenting results</li> <li>Explains the underlying concepts of medical statistics and presents the key facts without being unduly mathematical</li> <li>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.</li> <li>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</li> <li>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</li> <li>Provides cross-referencing to the multiple choice and structured questions in the companion <i>Medical Statistics at a Glance Workbook</i></li> </ul> <p><i>Medical Statistics at a Glance</i> is a must-have text for undergraduate and post-graduate medical students, medical researchers and biomedical and pharmaceutical professionals.</p>
<p>Preface ix</p> <p><b>Part 1 Handling data 1</b></p> <p>1 Types of data 2</p> <p>2 Data entry 4</p> <p>3 Error checking and outliers 6</p> <p>4 Displaying data diagrammatically 8</p> <p>5 Describing data: the ‘average’ 10</p> <p>6 Describing data: the ‘spread’ 12</p> <p>7 Theoretical distributions: the Normal distribution 14</p> <p>8 Theoretical distributions: other distributions 16</p> <p>9 Transformations 18</p> <p><b>Part 2 Sampling and estimation 21</b></p> <p>10 Sampling and sampling distributions 22</p> <p>11 Confidence intervals 24</p> <p><b>Part 3 Study design 27</b></p> <p>12 Study design I 28</p> <p>13 Study design II 31</p> <p>14 Clinical trials 34</p> <p>15 Cohort studies 37</p> <p>16 Case–control studies 40</p> <p><b>Part 4 Hypothesis testing 43</b></p> <p>17 Hypothesis testing 44</p> <p>18 Errors in hypothesis testing 47</p> <p><b>Part 5 Basic techniques for analysing data 51</b></p> <p><b>Numerical data</b></p> <p>19 Numerical data: a single group 52</p> <p>20 Numerical data: two related groups 54</p> <p>21 Numerical data: two unrelated groups 57</p> <p>22 Numerical data: more than two groups 60</p> <p><b>Categorical data</b></p> <p>23 Categorical data: a single proportion 63</p> <p>24 Categorical data: two proportions 66</p> <p>25 Categorical data: more than two categories 69</p> <p><b>Regression and correlation</b></p> <p>26 Correlation 72</p> <p>27 The theory of linear regression 75</p> <p>28 Performing a linear regression analysis 77</p> <p>29 Multiple linear regression 81</p> <p>30 Binary outcomes and logistic regression 85</p> <p>31 Rates and Poisson regression 89</p> <p>32 Generalized linear models 93</p> <p>33 Explanatory variables in statistical models 96</p> <p><b>Important considerations</b></p> <p>34 Bias and confounding 100</p> <p>35 Checking assumptions 104</p> <p>36 Sample size calculations 107</p> <p>37 Presenting results 111</p> <p><b>Part 6 Additional chapters 115</b></p> <p>38 Diagnostic tools 116</p> <p>39 Assessing agreement 119</p> <p>40 Evidence-based medicine 124</p> <p>41 Methods for clustered data 127</p> <p>42 Regression methods for clustered data 130</p> <p>43 Systematic reviews and meta-analysis 134</p> <p>44 Survival analysis 138</p> <p>45 Bayesian methods 142</p> <p>46 Developing prognostic scores 144</p> <p><b>Appendices 147</b></p> <p>A Statistical tables 148</p> <p>B Altman’s nomogram for sample size calculations (Chapter 36) 155</p> <p>C Typical computer output 156</p> <p>D Checklists and trial profile from the EQUATOR network and critical appraisal templates 169</p> <p>E Glossary of terms 178</p> <p>F Chapter numbers with relevant multiple-choice questions and structured questions from Medical Statistics at a Glance Workbook 188</p> <p>Index 190</p>
<p><b>Aviva Petrie</b> is Honorary Associate Professor, Biostatistics Unit, UCL Eastman Dental Institute, London, UK.</p> <p><b>Caroline Sabin</b> is Professor of Medical Statistics and Epidemiology, Department of Primary Care and Population Sciences, Royal Free and University College Medical School, London, UK.</p>
<p>Now in its fourth edition, <i>Medical Statistics at a Glance</i> 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.</p> <p>This new edition of <i>Medical Statistics at a Glance:</i></p> <ul> <li>Explains the underlying concepts of medical statistics and presents the key facts without being unduly mathematical</li> <li>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.</li> <li>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</li> <li>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</li> <li>Provides cross-referencing to the multiple choice and structured questions in the companion <i>Medical Statistics at a Glance Workbook</i></li> </ul> <p><i>Medical Statistics at a Glance</i> is a must-have text for undergraduate and post-graduate medical students, medical researchers and biomedical and pharmaceutical professionals.</p>

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