Medical Statistics at a Glance

Aviva Petrie is Honorary Associate Professor, Biostatistics Unit, UCL Eastman Dental Institute, London, UK.
 
Caroline Sabin is Professor of Medical Statistics and Epidemiology, Department of Primary Care and Population Sciences, Royal Free and University College Medical School, London, UK.

Now in its fourth edition, Medical Statistics at a Glance 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.
 
This new edition of Medical Statistics at a Glance:
* Offers guidance on the practical application of statistical methods in conducting research and presenting results
* Explains the underlying concepts of medical statistics and presents the key facts without being unduly mathematical
* 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.
* 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
* 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
* Provides cross-referencing to the multiple choice and structured questions in the companion Medical Statistics at a Glance Workbook
 
Medical Statistics at a Glance is a must-have text for undergraduate and post-graduate medical students, medical researchers and biomedical and pharmaceutical professionals.

Preface
 
Learning objectives
 
Handling data
 
1 Types of data
 
2 Data entry
 
3 Error checking and outliers
 
4 Displaying data diagrammatically
 
5 Describing data: the 'average'
 
6 Describing data: the 'spread'
 
7 Theoretical distributions: the Normal distribution
 
8 Theoretical distributions: other distributions
 
9 Transformations
 
Sampling and estimation
 
10 Sampling and sampling distributions
 
11 Confidence intervals
 
Study design
 
12 Study design I
 
13 Study design II
 
14 Clinical trials
 
15 Cohort studies
 
16 Case-control studies
 
Hypothesis testing
 
17 Hypothesis testing
 
18 Errors in hypothesis testing
 
Basic techniques for analysing data
 
Numerical data
 
19 Numerical data: a single group
 
20 Numerical data: two related groups
 
21 Numerical data: two unrelated groups
 
22 Numerical data: more than two groups
 
Categorical data
 
23 Categorical data: a single proportion
 
24 Categorical data: two proportions
 
25 Categorical data: more than two categories
 
Regression and correlation
 
26 Correlation
 
27 The theory of linear regression
 
28 Performing a linear regression analysis
 
29 Multiple linear regression
 
30 Binary outcomes and logistic regression
 
31 Rates and Poisson regression
 
32 Generalized linear models
 
33 Explanatory variables in statistical models
 
Important considerations
 
34 Bias and confounding
 
35 Checking assumptions
 
36 Sample size calculations
 
37 Presenting results
 
Additional chapters
 
38 Diagnostic tools
 
39 Assessing agreement
 
40 Evidence-based medicine
 
41 Methods for clustered data
 
42 Regression methods for clustered data
 
43 Systematic reviews and meta-analysis
 
44 Survival analysis
 
45 Bayesian methods
 
46 Developing prognostic scores
 
Appendices
 
A Statistical tables
 
B Altman's nomogram for sample size calculations
 
C Typical computer output
 
D EQUATOR network checklists and critical appraisal templates
 
E Glossary of terms
 
F Chapter numbers with relevant multiple-choice questions and structured questions from Medical Statistics at a Glance Workbook
 
Index

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