Willan / Briggs Statistical Analysis of Cost-Effectiveness Data

1. Auflage 2006
ISBN: 978-0-470-85627-7
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 210 Seiten, E-Book

Reihe: Statistics in Practice

The statistical analysis of cost-effectiveness data is becomingincreasingly important within health and medicalresearch. Statistical Analysis of Cost-EffectivenessData provides a practical book that synthesises thehuge amount of research that has taken place in the area over thelast two decades.
Comprising an up-to-date overview of the statistical analysis ofcost-effectiveness data, the book is supported bynumerous worked examples from the author's own experience. Ithas been written in a style suitable for medical statisticians andhealth care professionals alike. Key features include:
* an overview of statistical methods used in the analysis ofcost-effectiveness data.
* coverage of Bayesian methodology.
* illustrated throughout by worked examples using real data.
* suitability for health care professionals with limitedstatistical knowledge.
* discussion of software used for data analysis.
An essential reference for biostatisticians and healtheconomists engaged in cost-effectiveness analysis of health-careinterventions, both in academia and industry. Also of interest tograduate students of biostatistics, public health andeconomics.

Autoren/Hrsg.

Willan, Andrew R.

Briggs, Andrew H.

Inhaltsverzeichnis

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.
2.3 Effectiveness.
2.4 Summary.
3. Parameter Estimation for Censored Data.
3.1 Introduction.
3.2 Mean Cost.
3.3 Effectiveness.
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.
6.3 The classical approach based on net benefit.
6.4 Bayesian take on the classical approach.
6.5 The value of information approach.
6.6 Summary.
7. Covariate Adjustment and Sub-group Analysis.
7.1 Introduction.
7.2 Non-censored data.
7.3 Censored data.
7.4 Summary.
8. Multicenter and Multinational Trials.
8.1 Introduction.
8.2 Background to multinational cost-effectiveness.
8.3 Fixed effect approaches.
8.4 Random effects approaches.
8.5 Summary.
9. Modeling Cost-effectiveness.
9.1 Introduction.
9.2 A general framework for modeling cost-effectivenessresults.
9.3 Case study: an economic appraisal of the goalstudy.
9.4 Summary.
References.
Author Index.
Subject Index.
Series List.