ISBN-13: 9781420061178 / Angielski / Twarda / 2010 / 424 str.
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
Clinical trials that include the evaluation of health-related quality of life (QoL) issues are becoming more prevalent, yet many scientists remain unaware of the associated measurement and analysis issues. With an overview of design principles, Design and Analysis of Quality of Life Studies in Clinical Trials presents a range of solutions to analytic issues. This new edition reflects recent developments in methodology with expanded coverage of mixture models and an additional dataset example. The book implements examples using up-to-date SAS and R code and incorporates a number of examples from real QoL clinical trials to illustrate design and analysis methods.