Medical Statistics at a Glance, 2nd Edition

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Edition: 2nd
Format: eBook
Pub. Date: 2009-03-01
Publisher(s): Wiley-Blackwell
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Summary

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
Handling data
Types of data
Data entry
Error checking and outliers
Displaying data graphically
Describing data (1) - the æaverageÆ
Describing data (2) - the æspreadÆ
Theoretical distributions (1) - the Normal distribution
Theoretical distributions (2) - other distributions
Transformations
Sampling and estimation
Sampling and sampling distributions
Confidence Intervals
Study design
Study design I
Study design II
Clinical trials
Cohort studies
Case-control studies
Hypothesis testing
Hypothesis testing
Errors in hypothesis testing
Basic techniques for analysing dataNumerical data
A single group
Two related groups
Two unrelated groups
More than two groupsCategorical data
A single proportion
Two proportions
More than two categoriesRegression and correlation
Correlation
The theory of linear regression
Performing a linear regression analysis
Multiple linear regression analysis
Binary outcomes and logistic regression31. Rates and Poisson regression
Generalized linear models
Explanatory variables in statistical models
Issues in statistical modelling
Important considerations
Checking assumptions
Sample size calculations
Presenting results
Additional topics
Diagnostic tools
Assessing agreement
Evidence-based medicine
Methods for clustered data
Regression methods clustered data
Systematic reviews and meta-analysis
Survival analysis
Bayesian methods
Appendices
Statistical tables
AltmanÆs nomogram for sample size calculations
Typical computer output
Glossary of terms
Index
Table of Contents provided by Publisher. All Rights Reserved.

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