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Medical Statistics at a Glance, Second Edition

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Medical Statistics at a Glance provides a concise and accessible introduction and revision aid for undergraduate medical students and anyone wanting a straightforward introduction to this complex subject. Following the familiar, easy-to-use at a Glance format, each topic is presented as a double-page spread with key facts accompanied by clear, informative tables, formulae and graphs.

This new edition of Medical Statistics at a Glance:

  • Contains a second colour throughout to enhance the visual appeal, making the subject even easier to understand
  • Features worked examples on each topic, with emphasis on computer analysis of data rather than hand calculations
  • Includes new topics on Rates and Poisson regression, Generalised linear models, Explanatory variables in statistical models and Regression models for clustered data.
  • Has an accompanying website http://www.medstatsaag.com/containing supplementary material including multiple choice questions (MCQs) with annotated 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

"All medical professionals will come across statistics in their daily work and so a proper understanding of these concepts is invaluable. This is brought to you in this easily comprehensible succinct textbook.

.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

Author(s): Aviva Petrie, Caroline Sabin
Series: At a Glance
Edition: 2
Publisher: Wiley-Blackwell
Year: 2005

Language: English
Pages: 160

Preface......Page 8
1 Types of data......Page 10
2 Data entry......Page 12
3 Error checking and outliers......Page 14
4 Displaying data graphically......Page 16
5 Describing data: the ‘average’......Page 18
6 Describing data: the ‘spread’......Page 20
7 Theoretical distributions: the Normal distribution......Page 22
8 Theoretical distributions: other distributors......Page 24
9 Transformations......Page 26
10 Sampling and sampling distributions......Page 28
11 Confidence intervals......Page 30
12 Study design I......Page 32
13 Study design II......Page 34
14 Clinical trials......Page 36
15 Cohort studies......Page 39
16 Case–control studies......Page 42
17 Hypothesis testing......Page 44
18 Errors in hypothesis testing......Page 46
19 Numerical data: a single group......Page 48
20 Numerical data: two related groups......Page 51
21 Numerical data: two unrelated groups......Page 54
22 Numerical data: more than two groups......Page 57
23 Categorical data: a single proportion......Page 60
24 Categorical data: two proportions......Page 63
25 Categorical data: more than two categories......Page 66
26 Correlation......Page 69
27 The theory of linear regression......Page 72
28 Performing a linear regression analysis......Page 74
29 Multiple linear regression......Page 78
30 Binary outcomes and logistic regression......Page 81
31 Rates and Poisson regression......Page 84
32 Generalized linear models......Page 88
33 Explanatory variables in statistical models......Page 90
34 Issues in statistical modelling......Page 93
35 Checking assumptions......Page 96
36 Sample size calculations......Page 98
37 Presenting results......Page 101
38 Diagnostic tools......Page 104
39 Assessing agreement......Page 107
40 Evidence-based medicine......Page 110
41 Methods for clustered data......Page 112
42 Regression methods for clustered data......Page 115
43 Systematic reviews and meta-analysis......Page 118
44 Survival analysis......Page 121
45 Bayesian methods......Page 124
Appendix A: Statistical tables......Page 126
Appendix B: Altman’s nomogram for sample size calculations (Chapter 36)......Page 133
Appendix C: Typical computer output......Page 134
Appendix D: Glossary of terms......Page 146
Index......Page 155