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Cover image for Design and analysis of quality of life studies in clinical trials
Title:
Design and analysis of quality of life studies in clinical trials
Personal Author:
Series:
Chapman & Hall/CRC interdisciplinary statistics series

Interdisciplinary statistics
Edition:
2nd ed.
Publication Information:
Boca Raton : CRC Press, c2010
Physical Description:
xx, 404 p. : ill. ; 25 cm.
ISBN:
9781420061178
General Note:
"A Chapman & Hall book."

Available:*

Library
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Call Number
Material Type
Item Category 1
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30000010265501 R853.C55 F355 2010 Open Access Book Book
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Summary

Summary

Design Principles and Analysis Techniques for HRQoL Clinical Trials
SAS, R, and SPSS examples realistically show how to implement methods

Focusing on longitudinal studies, Design and Analysis of Quality of Life Studies in Clinical Trials, Second Edition addresses design and analysis aspects in enough detail so that readers can apply statistical methods, such as mixed effect models, to their own studies. The author illustrates the implementation of the methods using the statistical software packages SAS, SPSS, and R.

New to the Second Edition

Data sets available for download online, allowing readers to replicate the analyses presented in the text New chapter on testing models that involve moderation and mediation Revised discussions of multiple comparisons procedures that focus on the integration of health-related quality of life (HRQoL) outcomes with other study outcomes using gatekeeper strategies Recent methodological developments for the analysis of trials with missing data New chapter on quality adjusted life-years (QALYs) and QTWiST specific to clinical trials Additional examples of the implementation of basic models and other selected applications in R and SPSS

This edition continues to provide practical information for researchers directly involved in the design and analysis of HRQoL studies as well as for those who evaluate the design and interpret the results of HRQoL research. By following the examples in the book, readers will be able to apply the steps to their own trials.


Author Notes

Diane L. Fairclough is a professor in the Department of Biostatistics and Informatics in the Colorado School of Public Health and director of the Biostatistics Core of the Colorado Health Outcomes Program at the University of Colorado in Denver. She is also President of the International Society for Quality of Life Research. Dr. Fairclough's prior appointments include St. Jude Children's Research Hospital, Harvard School of Public Health, and AMC Cancer Research Center.


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