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.