Statistical Modeling for Biomedical Researchers : A Simple Introduction to the Analysis of Complex Data

William D. Dupont

ISBN 10: 0521849527 / ISBN 13: 9780521849524

Published by Cambridge University Press, 2009

About this Item

Druck auf Anfrage Neuware - Printed after ordering - The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is again used to perform the analyses, this time employing the much improved version 10 with its intuitive point and click as well as character-based commands. Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets available at biostat.mc.vanderbilt.edu/dupontwd/wddtext/.

Seller Inventory # 9780521849524

Bibliographic Details

• Title: Statistical Modeling for Biomedical Researchers : A Simple Introduction to the Analysis of Complex Data
• Publisher: Cambridge University Press
• Publication Date: 2009
• Language: English
• ISBN 10: 0521849527
• ISBN 13: 9780521849524
• Binding: Buch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 250W x 175H x 34D millimeters 250 millimeters width by 175 millimeters height by 34 millimeters depth
• Weight: 1107 grams

About this title

Synopsis

For biomedical researchers, the new edition of this standard text guides readers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is used to perform the analyses, in this edition employing the intuitive version 10.
Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets available online through Vanderbilt University.

About the Author

Wiliam D. Dupont is Professor of Biostatistics and Preventive Medicine at the Vanderbilt University School of Medicine, Nashville, Tennessee.