Medical Statistics at a Glance [NOOK Book]

Overview

Medical Statistics at a Glance is a concise and accessible introduction and revision aid for this complex subject. The self-contained chapters 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.

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Medical Statistics at a Glance

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Overview

Medical Statistics at a Glance is a concise and accessible introduction and revision aid for this complex subject. The self-contained chapters 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.

Read More Show Less

Editorial Reviews

From the Publisher
“The book will appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical disciplines.” (Zentralblatt MATH, 1 May 2013)

"Overall, Medical Statistics at a Glance is very useful to students who are aiming to learn basic medical statistics concepts. Clinicians and statistics students can keep a copy of this book as a quick initial reference. This book is highly recommended as an excellent Medical Statistics guide." (Journal of Biopharmaceutical Statistics, August 2010)

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Product Details

  • ISBN-13: 9781118782446
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 11/8/2013
  • Series: At a Glance
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 3
  • Pages: 180
  • Sales rank: 849,700
  • File size: 11 MB
  • Note: This product may take a few minutes to download.

Meet the Author

Aviva Petrie, Head of Biostatistics Unit and Senior Lecturer, Eastman Dental Institute, University College London; Honorary Lecturer in Medical Statistics, Medical Statistics Unit, London School of Hygiene and Tropical Medicine

Caroline Sabin, Professor of Medical Statistics and Epidemiology, Department of Primary Care and Population Sciences, Royal Free and University College Medical School, London.

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Table of Contents

1 Types of data 8
2 Data entry 10
3 Error checking and outliers 12
4 Displaying data graphically 14
5 Describing data : the 'average' 16
6 Describing data : the 'spread' 18
7 Theoretical distributions : the normal distribution 20
8 Theoretical distributions : other distributions 22
9 Transformations 24
10 Sampling and sampling distributions 26
11 Confidence intervals 28
12 Study design I 30
13 Study design II 32
14 Clinical trials 34
15 Cohort studies 37
16 Case-control studies 40
17 Hypothesis testing 42
18 Errors in hypothesis testing 44
19 Numerical data : a single group 46
20 Numerical data : two related groups 49
21 Numerical data : two unrelated groups 52
22 Numerical data : more than two groups 55
23 Categorical data : a single proportion 58
24 Categorical data : two proportions 61
25 Categorical data : more than two categories 64
26 Correlation 67
27 The theory of linear regression 70
28 Performing a linear regression analysis 72
29 Multiple linear regression 76
30 Binary outcomes and logistic regression 79
31 Rates and Poisson regression 82
32 Generalized linear models 86
33 Explanatory variables in statistical models 88
34 Issues in statistical modelling 91
35 Checking assumptions 94
36 Sample size calculations 96
37 Presenting results 99
38 Diagnostic tools 102
39 Assessing agreement 105
40 Evidence-based medicine 108
41 Methods for clustered data 110
42 Regression methods for clustered data 113
43 Systematic reviews and meta-analysis 116
44 Survival analysis 119
45 Bayesian methods 122
App. A Statistical tables 124
App. B Altman's nomogram for sample size calculations 131
App. C Typical computer output 132
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