Statistical Methods For Quality Of Life Studies: Design, Measurements And Analysis by Mounir MesbahStatistical Methods For Quality Of Life Studies: Design, Measurements And Analysis by Mounir Mesbah

Statistical Methods For Quality Of Life Studies: Design, Measurements And Analysis

EditorMounir Mesbah, Bernard F. Cole, Mounir Mei-Ling Ting Lee

Hardcover | August 31, 2002

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The volume presents a broad spectrum of papers which illustrates a range of current research related to the theory, methods and applications of health related quality of life (HRQoL) as well as the interdisciplinary nature of this work.
Title:Statistical Methods For Quality Of Life Studies: Design, Measurements And AnalysisFormat:HardcoverDimensions:380 pages, 9.25 × 6.1 × 0 inPublished:August 31, 2002Publisher:Springer USLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1402001428

ISBN - 13:9781402001420

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Table of Contents

Acknowledgements. Preface. Presenting Authors. Introduction; D.R. Cox. 1: Measurement, Scale Development, and Study Design. regulatory Aspects of Quality of Life; C. Gnecco, P.A. Lachenbruch. Biases in the Retrospective Calculation of Reliability and Responsiveness from Longitudinal Studies; G. Norma, et al. Application of the Multi-attribute Utility Theory to the Development of a Preference based Health-Related Quality of Life Instrument; C. Le Galès. Strategy and Methodology for Choice of Items in Psychometric Measurement: Designing a Quality of Life Instrument for Hip and Knee Osteoarthritis; F. Guillemin, et al. Conception, Development and Validation of Instruments for Quality of Life Assessment: An Overview; A.J. Chwalow, A.B. Adesina. Methodological Issues in the Analysis of Quality of Life Data in Clinical Trials: Illustrations from the National Surgical Adjuvant Breast and Bowel Project (NSABP) Breast Cancer Prevention Trial; S. Land, et al. Disease-Specific Versus Generic Measurement of Health-Related Quality of Life in Cross-Sectional and Longitudinal Studies: an Inpatient Investigation of the SF-36 and Four Disease-Specific Instruments; S. Briancon, et al. 2: Analysis and Interpretation of Multiple Endpoints. Analyzing Longitudinal Health-Related Quality of Life Data: Missing Data and Imputation Methods; D.A. Revicki. Comparison of Treatments with Multiple Outcomes; P. Tubert-Bitter, et al. The Use of Soft Endpoints in Clinical Trials: The Search for Clinical Significance; J. Wittes. 3: Item Response Theory and Rasch Models. Parametric and Nonparametric Item Response Theory Models in Health Related Quality of Life Measurement; I.W. Molenaar. Questionnaire Reliability Under the Rasch Model; A. Hamon, M. Mesbah. Item Response Theory (IRT): Applications in Quality of Life Measurement, Analysis and Interpretation; D. Cella, et al. Graphical Rasch Models; S. Kreiner, K.B. Christensen. 4: Joint Analysis of Quality of Life and Survival. Semi-Markov Models for Quality of Life Data with Censoring; N. Heutte, C. Huber-Carol. A Model Relating Quality of Life of Latent Health Status and Survival; M.-L. Ting Lee, G.A. Whitmore. Applying Survival Data Methodology to Analyze Longitudinal Quality of Life Data; L. Awad, et al. Latent Class Models to Describe Changes Over Time: A Case Study; H.C. van Houwelingen. 5: Quality-Adjusted Survival Analysis and Related Methods. Prevalence Analysis of Recurrent and Transient Health States in Quality of Life Studies; A. Kramar, R. Lancar. Measures of Quality Adjusted Life and Quality of Life Deficiency: Statistical Perspectives; P.K. Sen. Quality-Adjusted Survival Analysis in Cancer Clinical Trials; B.F. Cole, K.L. Kilbridge. 6: Methods for Informatively Missing Longitudinal Quality-of-Life Data. Handling of Missing Data; M. Chavance. Guidelines For Administration of Self-Reported Health-Related Quality of Questionnaires: How to Minimize Avoidable Missing Data? D. Dubois. Joint Analysis of Survival and Nonignorable Missing Longitudinal Quality-of-Life Data; J.-F. Dupuy. Multiple Imputation for Non-Random Missing Data in Longitudinal Studies of Health-Related Quality of Life; D.L. Fairclough. Strategies to Fit Pattern-Mixture Models; G. Molenberghs, et al. Analysis of Longitudinal Quality of Life Data with Informative Dropout; M.C. Wu, et al.