Rosalie Viney (Centre for Health Economics Research and Evaluation, Faculty of Business, University of Technology, Sydney, Australia) Elizabeth Savage (Centre for Health Economics Research and Evaluation, Faculty of Business, University of Technology, Sydney, Australia) Jordan Louviere (Centre for Study of Choice and Centre for Health Economics Research and Evaluation, School of Marketing, Faculty of Business, University of Technology, Sydney, Australia)
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Experimental design is critical to valid inference from the results of discrete choice experiments (DCEs). In health economics, DCEs have placed limited emphasis on experimental design, typically employing relatively small fractional factorial designs, which allow only strictly linear additive utility functions to be estimated. The extensive literature on optimal experimental design outside health economics has proposed potentially desirable design properties, such as orthogonality, utility balance and level balance. However, there are trade-offs between these properties and emphasis on some properties may increase the random variability in responses, potentially biasing parameter estimates.
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Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.
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