
CHL 5225 H -- ADVANCED STATISTICAL METHODS FOR CLINICAL TRIALS
Value of Information Methods
Required Reading:
- Willan AR, Chen M. Value of Information Methods in Clinical Research. (Chapters 2 to 3) Download
- Willan AR, Eckermann S. Value of information and pricing new health care interventions. PharmacoEconomics 2012;
30(6):447-459. Download
References:
- Willan AR, Pinto EM. The expected value of information and optimal clinical trial design. Statistics in Medicine
2005; 24:1791-1806. Correction Statistics in Medicine 2006; 25:720.
- Eckermann S, Willan AR. Expected value of information and decision making in HTA.
Health Economics 2007; 16:195-209.
- Willan AR. Clinical decision making and the expected value of information.
Clinical Trials 2007; 4:279-585.
- Eckermann S, Willan AR. Time and EVSI wait for no patient.
Value in Health 2008; 11:552-526.
- Eckermann S, Willan AR. The option value of delay in health technology assessment.
Medical Decision Making 2008; 28:300-305.
- Willan AR, Kowgier ME. Determining optimal sample sizes for multi-stage randomized clinical trials using value of information methods.
Clinical Trials 2008; 5:289-300.
- Willan AR. Optimal sample size determinations from an industry perspective based on the expected value of information.
Clinical Trials 2008; 5:587-594.
- Eckermann S, Willan AR. Globally optimal trial design for local decision making.
Health Economics 2009; 18:203-216.
- Willan AR, Eckermann S. Optimal clinical trial design using value of information methods with imperfect implementation.
Health Economics 2010; 19:549-561.
- Willan AR, Goeree R, Boutis K. Value of Information methods for planning and analyzing clinical studies optimize decision making and
research planning. Journal of Clinical Epidemiology 2012; 65(8):870-876.
- Willan AR, Eckermann S. Accounting for between-study variation in incremental net benefit in value of information methodology.
Health Economics 2012; 21(10):1183–1195.
- Chen MH, Willan AR. Determining optimal sample sizes for multistage adaptive randomized clinical trials from an industry perspective
using value of information methods. Clinical Trials (accepted for publication).
Class Notes
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