Primer of Applied Regression & Analysis of Variance, Third Edition
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Product details:
- Edition number 3
- Publisher McGraw-Hill Education
- Date of Publication 16 December 2015
- ISBN 9780071824118
- Binding Hardback
- No. of pages1216 pages
- Size 241x190x50 mm
- Weight 1916 g
- Language English 0
Categories
Short description:
Primer of Applied Regression & Analysis of Variance is a textbook especially created for medical, public health, and social and environmental science students who need applied (not theoretical) training in the use of statistical methods.
MoreLong description:
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
A textbook on the use of advanced statistical methods in healthcare sciences
Primer of Applied Regression & Analysis of Variance is a textbook especially created for medical, public health, and social and environmental science students who need applied (not theoretical) training in the use of statistical methods. The book has been acclaimed for its user-friendly style that makes complicated material understandable to readers who do not have an extensive math background.
The text is packed with learning aids that include chapter-ending summaries and end-of-chapter problems that quickly assess mastery of the material. Examples from biological and health sciences are included to clarify and illustrate key points. The techniques discussed apply to a wide range of disciplines, including social and behavioral science as well as health and life sciences. Typical courses that would use this text include those that cover multiple linear regression and ANOVA.
- Four completely new chapters
- Completely updated software information and examples
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
A textbook on the use of advanced statistical methods in healthcare sciences
Primer of Applied Regression & Analysis of Variance is a textbook especially created for medical, public health, and social and environmental science students who need applied (not theoretical) training in the use of statistical methods. The book has been acclaimed for its user-friendly style that makes complicated material understandable to readers who do not have an extensive math background.
The text is packed with learning aids that include chapter-ending summaries and end-of-chapter problems that quickly assess mastery of the material. Examples from biological and health sciences are included to clarify and illustrate key points. The techniques discussed apply to a wide range of disciplines, including social and behavioral science as well as health and life sciences. Typical courses that would use this text include those that cover multiple linear regression and ANOVA.
- Four completely new chapters
- Completely updated software information and examples
Table of Contents:
1. Why Do Multivarite Analysis?
2. Understanding Simple Linear Regression
3. Regression with Two or More Independent Variables
4. Do the Data Fit the Assumptions?
5. Multicollinearity and What to Do About it?
6. Selecting the "Best" Regression Model
7. Missing Data (NEW)
8. One-Way Analysis of Variance
9. Two-Way Analysis of Variance
10. Nonlinear Regression (NEW)
11. Repeated Measures
12. Mixing Continuous and Categorical Variables: Analysis of Covariance
13. Survival Analysis (NEW)
14. Logistic Regression (NEW)
Appendices
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