Primer of Applied Regression & Analysis of Variance

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Last edited by MARC Bot
September 21, 2020 | History

Primer of Applied Regression & Analysis of Variance

  • 2 Want to read
  • 1 Currently reading

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

Publish Date
Pages
1183

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Previews available in: English

Edition Availability
Cover of: Primer  of Applied Regression & Analysis of Variance
Primer of Applied Regression & Analysis of Variance
April 8, 2016, McGraw-Hill Education
Hardcover
Cover of: Primer of applied regression and analysis of variance
Primer of applied regression and analysis of variance
1990, McGraw-Hill, Health Professions Division
in English
Cover of: Primer of applied regression and analysis of variance
Primer of applied regression and analysis of variance
1990, McGraw-Hill
in English

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Book Details


Table of Contents

Why do multivariate analysis? --
The first step : understanding simple linear regression --
Regression with two or more independent variables --
Do the data fit the assumptions? --
Multicollinearity and what to do about it --
Selecting the "best" regression model --
Missing data --
One-way analysis of variance --
Two-way analysis of variance --
Repeated measures --
Mixing continuous and categorical variables : analysis of covariance --
Regression with a qualitative dependent variable : logistic regression --
Regression modeling of time-to-event data : survival analysis --
Nonlinear regression.

Edition Notes

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.

Published in
New York, USA

Classifications

Dewey Decimal Class
570.1/5195
Library of Congress
QH323.5 .G56 2016, QH323.5

Contributors

Co-Author
Bryan K. Slinker
Co-Author
Torsten B. Neilands

The Physical Object

Format
Hardcover
Pagination
xxxiii, 1183p
Number of pages
1183
Dimensions
7.5 x 2.0 x 9.5 inches
Weight
4.2 pounds

ID Numbers

Open Library
OL26502373M
ISBN 10
0071824111
ISBN 13
9780071824118
LCCN
2015033598
OCLC/WorldCat
967836557

Work 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. 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.

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
September 21, 2020 Edited by MARC Bot import existing book
August 4, 2020 Edited by ImportBot import existing book
October 18, 2018 Edited by Kaustubh Chakraborty Added new cover
October 17, 2018 Edited by Kaustubh Chakraborty Added third edition.
October 17, 2018 Created by Kaustubh Chakraborty Added new book.