Medical Statistics

ISBN-10: 140518051X

ISBN-13: 9781405180511

Edition: 3rd 2009

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Medical Statistics at a Glance, Third Edition, provides a concise and accessible introduction to and revision aid for this complex subject. Following the familiar easy-to-use at a Glance format, it leads the reader through a number of self-contained chapters which explain the underlying concepts of medical statistics and provide a guide to the most commonly used statistical procedures. Now in full color throughout, the Third Edition features a new chapter relating to studentsrsquo; own study design, conducting and publishing results, as a starting point when planning and carrying out research. It also includes new chapters on Cohort studies and issues and bias, as well as expanded sections on data management and missing data. Medical Statistics at a Glance, Third Edition, will appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical disciplines.
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Book details

List price: $64.95
Edition: 3rd
Copyright year: 2009
Publisher: John Wiley & Sons, Limited
Publication date: 7/10/2009
Binding: Paperback
Pages: 180
Size: 8.50" wide x 11.00" long x 0.50" tall
Weight: 1.276
Language: English

Learning objectives
Handling data
Types of data
Data entry
Error checking and outliers
Displaying data graphically
Describing data: the average
Describing data: the spread
Theoretical distributions: the Normal distribution
Theoretical distributions: other distributions
Sampling and Estimation
Sampling and sampling distributions
Confidence intervals
Study Design
Study design I
Study design II
Clinical trials
Cohort studies
Casecontrol studies
Hypothesis Testing
Hypothesis testing
Errors in hypothesis testing
Basic techniques for analysing data
Numerical Data
Numerical data: a single group
Numerical data: two related groups
Numerical data: two unrelated groups
Numerical data: more than two groups
Categorical Data
Categorical data: a single proportion
Categorical data: two proportions
Categorical data: more than two categories
Regression and Correlation
Correlation 67
The theory of linear regression
Performing a linear regression analysis
Multiple linear regression
Binary outcomes and logistic regression
Rates and Poisson regression
Generalized linear models
Explanatory variables in statistical models
Important Considerations
Bias and confounding
Checking assumptions
Sample size calculations
Presenting results
Additional Chapters
Diagnostic tools
Assessing agreement
Evidence-based medicine
Methods for clustered data
Regression methods for clustered data
Systematic reviews and meta-analysis
Survival analysis
Bayesian methods
Developing prognostic scores
Statistical tables
Altma's nomogram for sample size calculations
Typical computer output
Glossary of terms
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