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Medical and Health Science Statistics Made Easy

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ISBN-10: 0763772658

ISBN-13: 9780763772659

Edition: 2nd 2009 (Revised)

Authors: Michael Harris, Gordon Taylor

List price: $70.95
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Description:

Medical and Health Science Statistics Made Easy provides health professionals and students with easy-to-understand explanations of key statistical techniques used in medical literature. In a concise and user-friendly format, readers will grasp firm knowledge of medical statistics, including confidence intervals and probability values, numbers needed to treat, t tests and other parametric tests, survival analysis, and more. Highlighted examples, exam tips, and items of difficulty make this an ideal primer for all medical and health-related students and professionals. Contents include: Statistics which describe data Statistics which test confidence Statistics which test differences Statistics…    
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Book details

List price: $70.95
Edition: 2nd
Copyright year: 2009
Publisher: Jones & Bartlett Learning, LLC
Publication date: 1/14/2009
Binding: Paperback
Pages: 115
Size: 6.00" wide x 9.25" long x 0.25" tall
Weight: 0.594
Language: English

Gordon Taylor is a principal of Landscape Design Limited in London. He has designed gardens throughout Great Britain and Europe. He is the author of two previous Monacelli titles.

Abbreviations
Preface
About the authors
Foreword
How to use this book
How this book is designed
Statistics that describe data
Percentages
Mean
Median
Mode
Standard deviation
Statistics that test confidence
Confidence intervals
P values
Statistics that test differences
t tests and other parametric tests
Mann-Whitney and other nonparametric tests
Chi-squared test
Statistics that compare risk
Risk ratio
Odds ratio
Risk reduction and numbers needed to treat
Statistics that analyze relationships
Correlation
Regression
Statistics that analyze survival
Survival analysis: life tables and Kaplan-Meier plots
The Cox regression model
Statistics that analyze clinical investigations and screening
Sensitivity, specificity, and predictive value
Level of agreement and Kappa
Other concepts
Statistics at Work
Standard deviation, relative risk, and numbers needed to treat
Odds ratios and confidence intervals
Correlation and regression
Survival analysis
Sensitivity, specificity, and predictive values
Glossary
Index