Statistical Research Methods : A Guide for Non-Statisticians

Edward Boone

ISBN 10: 1461487072 / ISBN 13: 9781461487074

Published by Springer New York, Springer New York, 2013

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9781461487074

Bibliographic Details

• Title: Statistical Research Methods : A Guide for Non-Statisticians
• Publisher: Springer New York, Springer New York
• Publication Date: 2013
• Language: English
• ISBN 10: 1461487072
• ISBN 13: 9781461487074
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 18D millimeters 241 millimeters width by 160 millimeters height by 18 millimeters depth
• Weight: 506 grams

About this title

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 the Author

Roy Sabo, Department of Biostatistics, Virginia Commonwealth University

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