The Fold-in, Fold-out Design for DCE Choice Tasks: Application to Burden of Disease.

ABSTRACT: Background In discrete-choice experiments (DCEs), choice alternatives are described by attributes. The importance of each attribute can be quantified by analyzing respondents' choices. Estimates are valid only if alternatives are defined comprehensively, but choice tasks can become too difficult for respondents if too many attributes are included. Several solutions for this dilemma have been proposed, but these have practical or theoretical drawbacks and cannot be applied in all settings. The objective of the current article is to demonstrate an alternative solution, the fold-in, fold-out approach (FiFo). We use a motivating example, the ABC Index for burden of disease in chronic obstructive pulmonary disease (COPD). Methods Under FiFo, all attributes are part of all choice s

SUBMITTER: Goossens LMA 

PROVIDER: S-EPMC6613173 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature