Medical Statistics at a Glance

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John Wiley & Sons, Sep 30, 2019 - Medical - 208 pages

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.

 

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Contents

Chapters
2
Error checking and outliers
6
Displaying data diagrammatically
8
the spread
12
the Normal
14
Transformations
18
Confidence intervals
24
Clinical trials
34
Important considerations 34 Bias and confounding
100
Checking assumptions
104
Sample size calculations
107
Presenting results
111
Part 1
115
Diagnostic tools
116
Assessing agreement
119
Evidencebased medicine
124

Casecontrol studies
40
Errors in hypothesis testing
47
two related groups
54
more than two groups
60
a single proportion
63
two proportions
66
more than two categories
69
Regression and correlation 26 Correlation
72
The theory of linear regression
75
Performing a linear regression analysis
77
Multiple linear regression
81
Binary outcomes and logistic regression
85
Rates and Poisson regression
89
Generalized linear models
93
Explanatory variables in statistical models
96
Methods for clustered data
127
Regression methods for clustered data
130
Systematic reviews and metaanalysis
134
Survival analysis
138
Bayesian methods
142
Developing prognostic scores
144
Appendices
147
A Statistical tables
148
B Altmans nomogram for sample size calculations Chapter 36
155
Typical computer output
156
Checklists and trial profile from the EQUATOR network and critical appraisal templates
169
E Glossary of terms
178
F Chapter numbers with relevant multiplechoice questions and structured questions from Medical Statistics at a Glance Workbook
188
Index
190
Copyright

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About the author (2019)

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.

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