Medical Statistics at a Glance

✍ Scribed by Petrie A., Sabin C.

• Publisher: Blackwell
• Year: 2005
• Tongue: English
• Leaves: 161
• Series: At a Glance
• Edition: 2ed
• Category: Library

✦ Synopsis

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-assessmentMedical 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

✦ Table of Contents

Preface......Page 9
1 Types of data......Page 11
2 Data entry......Page 13
3 Error checking and outliers......Page 15
4 Displaying data graphically......Page 17
5 Describing data: the ‘average’......Page 19
6 Describing data: the ‘spread’......Page 21
7 Theoretical distributions: the Normal distribution......Page 23
8 Theoretical distributions: other distributors......Page 25
9 Transformations......Page 27
10 Sampling and sampling distributions......Page 29
11 Confidence intervals......Page 31
12 Study design I......Page 33
13 Study design II......Page 35
14 Clinical trials......Page 37
15 Cohort studies......Page 40
16 Case–control studies......Page 43
17 Hypothesis testing......Page 45
18 Errors in hypothesis testing......Page 47
19 Numerical data: a single group......Page 49
20 Numerical data: two related groups......Page 52
21 Numerical data: two unrelated groups......Page 55
22 Numerical data: more than two groups......Page 58
23 Categorical data: a single proportion......Page 61
24 Categorical data: two proportions......Page 64
25 Categorical data: more than two categories......Page 67
26 Correlation......Page 70
27 The theory of linear regression......Page 73
28 Performing a linear regression analysis......Page 75
29 Multiple linear regression......Page 79
30 Binary outcomes and logistic regression......Page 82
31 Rates and Poisson regression......Page 85
32 Generalized linear models......Page 89
33 Explanatory variables in statistical models......Page 91
34 Issues in statistical modelling......Page 94
35 Checking assumptions......Page 97
36 Sample size calculations......Page 99
37 Presenting results......Page 102
38 Diagnostic tools......Page 105
39 Assessing agreement......Page 108
40 Evidence-based medicine......Page 111
41 Methods for clustered data......Page 113
42 Regression methods for clustered data......Page 116
43 Systematic reviews and meta-analysis......Page 119
44 Survival analysis......Page 122
45 Bayesian methods......Page 125
Appendix A: Statistical tables......Page 127
Appendix B: Altman’s nomogram for sample size calculations (Chapter 36)......Page 134
Appendix C: Typical computer output......Page 135
Appendix D: Glossary of terms......Page 147
Index......Page 156