Medical Statistics

Name: Medical Statistics
Price: 20.4 USD
Availability: InStock
ISBN: 9781405180511

ISBN-10: 140518051X

ISBN-13: 9781405180511

Edition: 3rd 2009

Authors: Aviva Petrie, Caroline Sabin

List price: $60.95

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Description:

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…

Book details

List price: $60.95
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



Preface


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



Transformations


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


Appendices



Statistical tables



Altma's nomogram for sample size calculations



Typical computer output



Glossary of terms


Index