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.
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