Statistical Methods for Quality of Life Studies: Design, Measurements and Analysis - gebonden uitgave, pocketboek

EAN (ISBN-13): 9781402001420
ISBN (ISBN-10): 1402001428
Gebonden uitgave
Verschijningsjaar: 2002
Uitgever: Springer
388 Bladzijden
Gewicht: 0,742 kg
Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 2007-04-30T20:46:25+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2023-11-07T22:42:26+01:00 (Amsterdam)
ISBN/EAN: 9781402001420

ISBN - alternatieve schrijfwijzen:
1-4020-0142-8, 978-1-4020-0142-0
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: ling, mounir, coles, ting, cole
Titel van het boek: statistical methods, measurement and analysis, design studies, design for life, little design possible, looking design, towards quality life, design your life, design quality value

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Gegevens van de uitgever

Auteur: Mounir Mesbah; Bernard F. Cole; Mei-Ling Ting Lee
Titel: Statistical Methods for Quality of Life Studies - Design, Measurements and Analysis
Uitgeverij: Springer; Springer US
364 Bladzijden
Verschijningsjaar: 2002-08-31
New York; NY; US
Taal: Engels
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
Available
XVI, 364 p.

BB; Hardcover, Softcover / Medizin/Veterinärmedizin; Tiermedizin; Verstehen; Assessment; Censoring; Item; Measure; Survival analysis; best fit; Veterinary Science; Quality of Life Research; Biostatistics; Statistics; Probability Theory; Persönliche Gesundheit und Gesundheitswesen / Gesundheitserziehung; Wahrscheinlichkeitsrechnung und Statistik; Stochastik; BC

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.