Summary
Medical Statistics at a Glance provides a concise and accessible introduction to and revision aid for this complex subject. Following the familiar easy-to-use at a Glance format, it leads the reader through a number of self-contained chapters which explain the underlying concepts of medical statistics and provide a guide to the most commonly used statistical procedures. This new edition of Medical Statistics at a Glance: bull; bull;contains a second colour throughout to enhance the visual appeal bull;presents the key facts accompanied, where appropriate, by clear and informative tables and diagrams bull;features worked examples in each chapter, with emphasis on the interpretation of computer data analysis rather than on complex hand calculations bull;includes new chapters entitled Rates and Poisson regression, Generalized linear models, Explanatory variables in statistical models and Regression models for clustered data bull;has an accompanying website http://www.medstatsaag.com/ containing supplementary material including an extensive reference list and multiple choice questions (MCQs) with interactive answers for self-assessment. Medical Statistics at a Glance will appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical disciplines. Reviews of the last edition ls"All in all, this is a book that I would highly recommend to the target audience. Concise, accurate, broad coverage, in an easy-to-use formathellip; buy this and you will have the best set of lecture notes in the class!rs" The Statistician, 2001 ls"The more familiar I have become with this book, the more I appreciate the clear presentation and unthreatening prose.rs" Journal of Epidemiology ls"...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.rs" 4th year medical student, Barts and the London Chronicle, Spring 2003 "an excellent job of making medical statistics as relevant and painless as it possibly could behellip;if statistics give you headaches buy it" GKT Gazette "It is now a valuable companion to my statistics course" International Journal of Epidemiology "As one who generally has not got a clue whenit comes to statistics, this is a book I would definitely recommend" Surgo: Glasgow University Medical Journal "This bookhellip;was actually enjoyable to read" Cambridge Medicine "Nothing is too obscure, there are lots of worked examples, and clear diagrams. Go Buy!" Sphincter Liverpool Medical Students Society Journal
Author Biography
Professor Aviva Petrie, Eastman Dental Institute, University College London
Professor Caroline Sabin, Department of Primary Care and Population Sciences, Royal Free Hospital, London
Table of Contents
Preface |
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6 | (2) |
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8 | (2) |
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10 | (2) |
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Error checking and outliers |
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12 | (2) |
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Displaying data graphically |
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14 | (2) |
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Describing data: the `average' |
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16 | (2) |
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Describing data: the `spread' |
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18 | (2) |
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Theoretical distributions: the Normal distribution |
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20 | (2) |
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Theoretical distributions: other distributions |
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22 | (2) |
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24 | (2) |
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Sampling and sampling distributions |
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26 | (2) |
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28 | (2) |
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30 | (2) |
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32 | (2) |
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34 | (3) |
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37 | (3) |
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40 | (2) |
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42 | (2) |
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Errors in hypothesis testing |
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44 | (2) |
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Basic techniques for analysing data |
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Numerical data: a single group |
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46 | (3) |
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Numerical data: two related groups |
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49 | (3) |
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Numerical data: two unrelated groups |
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52 | (3) |
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Numerical data: more than two groups |
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55 | (3) |
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Categorical data: a single proportion |
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58 | (3) |
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Categorical data: two proportions |
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61 | (3) |
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Categorical data: more than two categories |
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64 | (3) |
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Regression and correlation |
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67 | (3) |
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The theory of linear regression |
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70 | (2) |
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Performing a linear regression analysis |
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72 | (4) |
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Multiple linear regression |
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76 | (3) |
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Binary outcomes and logistic regression |
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79 | (3) |
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Rates and Poisson regression |
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82 | (4) |
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Generalized linear models |
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86 | (2) |
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Explanatory variables in statistical models |
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88 | (3) |
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Issues in statistical modelling |
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91 | (3) |
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94 | (2) |
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96 | (3) |
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99 | (3) |
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102 | (3) |
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105 | (3) |
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108 | (2) |
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Methods for clustered data |
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110 | (3) |
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Regression methods for clustered data |
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113 | (3) |
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Systematic reviews and meta-analysis |
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116 | (3) |
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119 | (3) |
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122 | (31) |
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124 | (7) |
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Altman's nomogram for sample size calculations |
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131 | (1) |
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132 | (12) |
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144 | (9) |
Index |
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153 | |
Excerpts
"Medical Statistics at a Glance provides a concise and accessible introduction to and revision aid for this complex subject. Following the familiar easy-to-use At a Glance format, it leads the reader through a number of self-contained chapters which explain the underlying concepts of medical statistics and provide a guide to the most commonly used statistical procedures. Medical Statistics at a Glance will appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical disciplines."--BOOK JACKET.