What is included with this book?
Acknowledgements | p. ix |
Preface | p. xi |
Presenting Authors | p. xiii |
Introduction | p. 1 |
Measurement, Scale Development, and Study Design | p. 7 |
Regulatory Aspects of Quality of Life | p. 9 |
Biases in the Retrospective Calculation of Reliability and Responsiveness from Longitudinal Studies | p. 21 |
Application of the Multiattribute Utility Theory to the Development of a Preference based Health-Related Quality of Life Instrument | p. 33 |
Strategy and Methodology for Choice of Items in Psychometric Measurement: Designing a Quality of Life Instrument for Hip and Knee Osteoarthritis | p. 51 |
Conception, Development and Validation of Instruments for Quality of Life Assessment: An Overview | p. 63 |
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 | p. 71 |
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 | p. 87 |
Analysis and Interpretation of Multiple Endpoints | p. 101 |
Analyzing Longitudinal Health-Related Quality of Life Data: Missing Data and Imputation Methods | p. 103 |
Comparison of Treatments with Multiple Outcomes | p. 113 |
The Use of Soft Endpoints in Clinical Trials: The Search for Clinical Significance | p. 129 |
Item Response Theory and Rasch Models | p. 141 |
Parametric and Nonparametric Item Response Theory Models in Health Related Quality of Life Measurement | p. 143 |
Questionnaire Reliability Under the Rasch Model | p. 155 |
Item Response Theory (IRT): Applications in Quality of Life Measurement, Analysis and Interpretation | p. 169 |
Graphical Rasch Models | p. 187 |
Joint Analysis of Quality of Life and Survival | p. 205 |
Semi-Markov Models for Quality of Life Data with Censoring | p. 207 |
A Model Relating Quality of Life to Latent Health Status and Survival | p. 219 |
Applying Survival Data Methodology to Analyze Longitudinal Quality of Life Data | p. 231 |
Latent Class Models to Describe Changes Over Time: A Case Study | p. 245 |
Quality-Adjusted Survival Analysis and Related Methods | p. 261 |
Prevalence Analysis of Recurrent and Transient Health States in Quality of Life Studies | p. 263 |
Measures of Quality Adjusted Life and Quality of Life Deficiency: Statistical Perspectives | p. 275 |
Quality-Adjusted Survival Analysis in Cancer Clinical Trials | p. 287 |
Methods for Informatively Missing Longitudinal Quality-of-Life data | p. 301 |
Handling of Missing Data | p. 303 |
Guidelines For Administration of Self-Reported Health-Related Quality of Questionnaires: How to Minimize Avoidable Missing Data? | p. 307 |
Joint Analysis of Survival and Nonignorable Missing Longitudinal Quality-of-Life Data | p. 309 |
Multiple Imputation for Non-Random Missing Data in Longitudinal Studies of Health-Related Quality of Life | p. 323 |
Strategies to Fit Pattern-Mixture Models | p. 339 |
Analysis of Longitudinal Quality of Life Data with Informative Dropout | p. 353 |
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