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Titlebook: Statistical Methods for Quality of Life Studies; Design, Measurements Mounir Mesbah,Bernard F. Cole,Mei-Ling Ting Lee Book 2002 Springer-Ve

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Analyzing Longitudinal Health-Related Quality of Life Data: Missing Data and Imputation Methodsstimates when missing data rates exceeded 20% across treatment groups. Future research should compare empirical Bayes or multiple imputation with statistical analysis approaches to handling missing HRQL outcome data.
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The Use of Soft Endpoints in Clinical Trials: The Search for Clinical Significancefrom such scales, even though the scales themselves are quite reliable, precise, and sensitive to change. Without meaningful approaches to defining clinical significance, such scales are unlikely to become acceptable in clinical trials except, perhaps, as exploratory endpoints. This paper discusses
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Book 2002as quite time­ consuming, we believe that it greatly improved the volume as a whole, making this book a valuable contribution to the field ofHRQoL research. The volume presents a broad spectrum of papers presented at the Workshop, and thus illustrates the range of current research related to the the
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process was quite time­ consuming, we believe that it greatly improved the volume as a whole, making this book a valuable contribution to the field ofHRQoL research. The volume presents a broad spectrum of papers presented at the Workshop, and thus illustrates the range of current research related to the the978-1-4419-5207-3978-1-4757-3625-0
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Conception, Development and Validation of Instruments for Quality of Life Assessment: An Overview-culturally validated, is usually recommended. This chapter will discuss precise psychometric elements to be considered in the decision to develop or to use an existing scale. The principles discussed here, serve as general guidelines for those planning to assess health related quality of life in research and practice settings.
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Comparison of Treatments with Multiple Outcomesr tolerating different treatments. Bootstrap methods are used to circumvent the analytic and computational complexities of the new approaches. We illustrate these approaches using data from patients with rheumatoid arthritis. In this setting, quality of life involves trade-offs between efficacy and toxicity of treatments.
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