1. Edition - July 2006
71.90 Euro
2006. 210 Pages, Hardcover
ISBN-10: 0-470-85626-2
ISBN-13: 978-0-470-85626-0 - John Wiley & Sons






Sample Chapter

Short description
Supported by numerous worked examples from the author¿s own experience, Statistical Analysis of Cost-Effectiveness Data provides an up-to-date overview of the statistical analysis of cost-effectiveness data.

From the contents
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.