Andrew R. Willan, Andrew H. Briggs

Statistical Analysis of Cost-Effectiveness Data (eBook, PDF)

• Format: PDF

Produktbeschreibung

The statistical analysis of cost-effectiveness data is becoming increasingly important within health and medical research. Statistical Analysis of Cost-Effectiveness Data provides a practical book that synthesises the huge amount of research that has taken place in the area over the last two decades. Comprising an up-to-date overview of the statistical analysis of cost-effectiveness data, the book is supported by numerous worked examples from the author's own experience. It has been written in a style suitable for medical statisticians and health care professionals alike. Key features include: * an overview of statistical methods used in the analysis of cost-effectiveness data. * coverage of Bayesian methodology. * illustrated throughout by worked examples using real data. * suitability for health care professionals with limited statistical knowledge. * discussion of software used for data analysis. An essential reference for biostatisticians and health economists engaged in cost-effectiveness analysis of health-care interventions, both in academia and industry. Also of interest to graduate students of biostatistics, public health and economics.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 210
• Erscheinungstermin: 14. August 2006
• Englisch
• ISBN-13: 9780470856277
• Artikelnr.: 37299525

Autorenporträt

Dr.Andrew R. Willan is an academic biostatistician and clinical trial methodologist, and currently holds the positions of Senior Scientist Emeritus at SickKids Research Institute, Professor of Biostatistics in the Dalla Lana School of Public Health at the University of Toronto, and Professor Emeritus in the Department of Clinical Epidemiology and Biostatistics at McMaster University. His contributions to statistical methodology include publications in the areas of cost-effectiveness analysis, value of information methods, management trials, crossover trials, non-nested regression analysis and bivariate response models. Dr. Willan has been particularly instrumental in developing the field of statistical analysis of cost-effectiveness data with twenty peer-review articles and a book, co-authored with Professor Andy Briggs, in the Wiley Statistics in Practice series, entitled Statistical Analysis of Cost-effectiveness Data.

Inhaltsangabe

Preface. 1. Concepts. 1.1 Introduction. 1.2 Cost-effectiveness data and the
parameters of interest. 1.3 The cost-effectiveness plane, the ICER and INB.
1.4 Outline. 2. Parameter Estimation for Non-censored Data. 2.1
Introduction. 2.2 Cost. 2.2.1 Sample means for estimating incremental cost.
2.2.2 Using multiple regression models. 2.2.3 Transformation (and the
retransformation problem). 2.2.4 Generalized linear models. 2.2.5 Two-part
models for excess zeros. 2.2.6 Cost prediction models. 2.3 Effectiveness.
2.3.1 Probability of surviving. 2.3.2 Mean survival time. 2.3.3 Mean
quality-adjusted survival time. 2.3.4 Mean quality-adjusted survival:
controlling for baseline utility. 2.4 Summary. 3. Parameter Estimation for
Censored Data. 3.1 Introduction. 3.2 Mean Cost. 3.2.1 Direct (Lin) method.
3.2.2 Inverse-probability weighting. 3.3 Effectiveness. 3.3.1 Probability
of surviving. 3.3.2 Mean survival time. 3.3.3 Mean quality-adjusted
survival time. 3.4 Summary. 4. Cost-effectiveness Analysis. 4.1
Introduction. 4.2 Incremental cost-effectiveness ratio. 4.3 Incremental net
benefit. 4.4 The cost-effectiveness acceptability curve. 4.5 Using
bootstrap methods. 4.6 A Bayesian incremental net benefit approach. 4.7
Kinked thresholds. 4.8 Summary. 5. Cost-effectiveness Analysis: Examples.
5.1 Introduction. 5.2 The CADET-Hp trial. 5.3 Symptomatic hormone-resistant
prostate cancer. 5.4 The Canadian implantable defibrillator study (CIDS).
5.5 The EVALUATE trial. 5.6 Bayesian approach applied to the UK PDS study.
5.7 Summary. 6. Power and Sample Size Determination. 6.1 Introduction. 6.2
Approaches based on the cost-effectiveness plane. 6.2.1 Briggs and Gray.
6.2.2 Willan and O'Brien. 6.2.3 Gardiner et al.. 6.3 The classical approach
based on net benefit. 6.3.1 The method. 6.3.2 Example. 6.4 Bayesian take on
the classical approach. 6.4.1 The Method. 6.4.2 Example. 6.5 The value of
information approach. 6.5.1 The method. 6.5.2 Example. 6.6 Summary. 7.
Covariate Adjustment and Sub-group Analysis. 7.1 Introduction. 7.2
Non-censored data. 7.2.1 Example, non-censored data. 7.3 Censored data.
7.3.1 Cost. 7.3.2 Quality-adjusted survival time. 7.3.3 Survival time.
7.3.4 The Canadian implantable defibrillator study (CIDS). 7.3.5 The
evaluate trial. 7.4 Summary. 8. Multicenter and Multinational Trials. 8.1
Introduction. 8.2 Background to multinational cost-effectiveness. 8.3 Fixed
effect approaches. 8.3.1 Willke et al.. 8.3.2 Cook et al.. 8.4 Random
effects approaches. 8.4.1 Aggregate level analysis: multicenter trials.
8.4.2 Aggregate level analysis: multinational trials. 8.4.3 Hierarchical
modeling. 8.5 Summary. 9. Modeling Cost-effectiveness. 9.1 Introduction.
9.2 A general framework for modeling cost-effectiveness results. 9.3 Case
study: an economic appraisal of the goal study. 9.3.1 The GOAL study. 9.3.2
Standard approach to estimating cost-effectiveness. 9.3.3 An alternative
approach to estimating cost-effectiveness. 9.3.4 Comparing the two analyses
of GOAL. 9.4 Summary. References. Author Index. Subject Index. Series List.

Rezensionen

"...Willan and Briggs have written a thorough, balanced, anduseful book. I look forward to reading an enlarged, revisedsecond edition." ( Journal of the American StatisticalAssociation, June 2008)
"Overall this is a useful book for this new discipline thathelps considerably the reader to enter this topic and learn how tohandle this type of problems." ( Zentralblatt MATH 2008 )