Statistical Research Methods: A Guide for Non-Statisticians - Hardcover

Sabo, Roy; Boone, Edward

Hardcover

ISBN 10: 1461487072 ISBN 13: 9781461487074

Publisher: Springer, 2013

Synopsis

This textbook will help graduate students in non-statistics disciplines, advanced undergraduate researchers, and research faculty in the health sciences to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis process from hypothesis generation to writing the results in a manuscript. Chapters cover, among other topics: one and two-sample proportions, multi-category data, one and two-sample means, analysis of variance, and regression. Throughout the text, the authors explain statistical procedures and concepts using a non-statistical language. This accessible approach is complete with real-world examples and sample write-ups for the Methods and Results sections of scholarly papers. The text also allows for the concurrent use of the programming language R, which is an open-source program created, maintained and updated by the statistical community. R is freely available and easy to download.

About this title

About the Author

Roy Sabo, Department of Biostatistics, Virginia Commonwealth University

Edward Boone, Department of Statistical Sciences and Operations Research, Virginia Commonwealth University

From the Back Cover

This textbook will help graduate students in non-statistics disciplines, advanced undergraduate researchers, and research faculty in the health sciences to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis process from hypothesis generation to writing the results in a manuscript. Chapters cover, among other topics: one and two-sample proportions, multi-category data, one and two-sample means, analysis of variance, and regression. Throughout the text, the authors explain statistical procedures and concepts using a non-statistical language. This accessible approach is complete with real-world examples and sample write-ups for the Methods and Results sections of scholarly papers. The text also allows for the concurrent use of the programming language R, which is an open-source program created, maintained and updated by the statistical community. R is freely available and easy to download.

Edition details

• Publisher: Springer
• Publication date: 2013
• Language: English
• ISBN 10: 1461487072
• ISBN 13: 9781461487074
• Binding: Hardcover
• Number of pages: 223