Medical and Health Science Statistics Made Easy
Edition: 2nd 2009 (Revised)
List price: $60.95
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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 which compare risk Statistics which analyze relationships Statistics which analyze survival Statistics which analyze clinical investigations and screening Statistics at work
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $60.95
Copyright year: 2009
Publisher: Jones & Bartlett Learning, LLC
Publication date: 1/14/2009
Size: 6.00" wide x 9.25" long x 0.25" tall
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.
|About the authors|
|How to use this book|
|How this book is designed|
|Statistics that describe data|
|Statistics that test confidence|
|Statistics that test differences|
|t tests and other parametric tests|
|Mann-Whitney and other nonparametric tests|
|Statistics that compare risk|
|Risk reduction and numbers needed to treat|
|Statistics that analyze relationships|
|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|
|Statistics at Work|
|Standard deviation, relative risk, and numbers needed to treat|
|Odds ratios and confidence intervals|
|Correlation and regression|
|Sensitivity, specificity, and predictive values|