Statistical Analysis of Cost-Effectiveness Data

- 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

"...Willan and Briggs have written a thorough, balanced, and useful book. I look forward to reading an enlarged, revised second edition." (Journal of the American Statistical Association, June 2008) "Overall this is a useful book for this new discipline that helps considerably the reader to enter this topic and learn how to handle this type of problems." (Zentralblatt MATH 2008)

"...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 )