Statistical Methods for Quality of Life Studies

Design, Measurements and Analysis

Häftad, Engelska, 2010

1 702 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2010-12-02
Mått:160 x 240 x 21 mm
Vikt:581 g
Format:Häftad
Språk:Engelska
Antal sidor:364
Förlag:Springer-Verlag New York Inc.
ISBN:9781441952073

Utforska kategorier

Innehållsförteckning

1: Measurement, Scale Development, and Study Design.- Regulatory Aspects of Quality of Life.- Biases in the Retrospective Calculation of Reliability and Responsiveness from Longitudinal Studies.- Application of the Multiattribute Utility Theory to the Development of a Preference based Health-Related Quality of Life Instrument.- Strategy and Methodology for Choice of Items in Psychometric Measurement: Designing a Quality of Life Instrument for Hip and Knee Osteoarthritis.- Conception, Development and Validation of Instruments for Quality of Life Assessment: An Overview.- 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.- 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.- 2: Analysis and Interpretation of Multiple Endpoints.- Analyzing Longitudinal Health-Related Quality of Life Data: Missing Data and Imputation Methods.- Comparison of Treatments with Multiple Outcomes.- The Use of Soft Endpoints in Clinical Trials: The Search for Clinical Significance.- 3: Item Response Theory and Rasch Models.- Parametric and Nonparametric Item Response Theory Models in Health Related Quality of Life Measurement.- Questionnaire Reliability Under the Rasch Model.- Item Response Theory (IRT): Applications in Quality of Life Measurement, Analysis and Interpretation.- Graphical Rasch Models.- 4: Joint Analysis of Quality of Life and Survival.- Semi-Markov Models for Quality of Life Data with Censoring.- A Model Relating Quality of Life to Latent Health Status and Survival.- Applying Survival DataMethodology to Analyze Longitudinal Quality of Life Data.- Latent Class Models to Describe Changes Over Time: A Case Study.- 5: Quality-Adjusted Survival Analysis and Related Methods.- Prevalence Analysis of Recurrent and Transient Health States in Quality of Life Studies.- Measures of Quality Adjusted Life and Quality of Life Deficiency: Statistical Perspectives.- Quality-Adjusted Survival Analysis in Cancer Clinical Trials.- 6: Methods for Informatively Missing Longitudinal quality-of-llfe data.- Handling of Missing Data.- Guidelines For Administration of Self-Reported Health-Related Quality of Questionnaires: How to Minimize Avoidable Missing Data?.- Joint Analysis of Survival and Nonignorable Missing Longitudinal Quality-of-Life Data.- Multiple Imputation for Non-Random Missing Data in Longitudinal Studies of Health-Related Quality of Life.- Strategies to Fit Pattern-Mixture Models.- Analysis of Longitudinal Quality of Life Data with Informative Dropout.

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Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

Produktinformation

Utgivningsdatum:2010-12-02
Mått:160 x 240 x 21 mm
Vikt:581 g
Format:Häftad
Språk:Engelska
Antal sidor:364
Förlag:Springer-Verlag New York Inc.
ISBN:9781441952073

Utforska kategorier

Innehållsförteckning

1: Measurement, Scale Development, and Study Design.- Regulatory Aspects of Quality of Life.- Biases in the Retrospective Calculation of Reliability and Responsiveness from Longitudinal Studies.- Application of the Multiattribute Utility Theory to the Development of a Preference based Health-Related Quality of Life Instrument.- Strategy and Methodology for Choice of Items in Psychometric Measurement: Designing a Quality of Life Instrument for Hip and Knee Osteoarthritis.- Conception, Development and Validation of Instruments for Quality of Life Assessment: An Overview.- 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.- 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.- 2: Analysis and Interpretation of Multiple Endpoints.- Analyzing Longitudinal Health-Related Quality of Life Data: Missing Data and Imputation Methods.- Comparison of Treatments with Multiple Outcomes.- The Use of Soft Endpoints in Clinical Trials: The Search for Clinical Significance.- 3: Item Response Theory and Rasch Models.- Parametric and Nonparametric Item Response Theory Models in Health Related Quality of Life Measurement.- Questionnaire Reliability Under the Rasch Model.- Item Response Theory (IRT): Applications in Quality of Life Measurement, Analysis and Interpretation.- Graphical Rasch Models.- 4: Joint Analysis of Quality of Life and Survival.- Semi-Markov Models for Quality of Life Data with Censoring.- A Model Relating Quality of Life to Latent Health Status and Survival.- Applying Survival DataMethodology to Analyze Longitudinal Quality of Life Data.- Latent Class Models to Describe Changes Over Time: A Case Study.- 5: Quality-Adjusted Survival Analysis and Related Methods.- Prevalence Analysis of Recurrent and Transient Health States in Quality of Life Studies.- Measures of Quality Adjusted Life and Quality of Life Deficiency: Statistical Perspectives.- Quality-Adjusted Survival Analysis in Cancer Clinical Trials.- 6: Methods for Informatively Missing Longitudinal quality-of-llfe data.- Handling of Missing Data.- Guidelines For Administration of Self-Reported Health-Related Quality of Questionnaires: How to Minimize Avoidable Missing Data?.- Joint Analysis of Survival and Nonignorable Missing Longitudinal Quality-of-Life Data.- Multiple Imputation for Non-Random Missing Data in Longitudinal Studies of Health-Related Quality of Life.- Strategies to Fit Pattern-Mixture Models.- Analysis of Longitudinal Quality of Life Data with Informative Dropout.