A Break from the Norm? Parametric Representations of Preference Heterogeneity for Discrete Choice Models in Health.

ABSTRACT: BackgroundAny sample of individuals has its own unique distribution of preferences for choices that they make. Discrete choice models try to capture these distributions. Mixed logits are by far the most commonly used choice model in health. Many parametric specifications for these models are available. We test a range of alternative assumptions and model averaging to test if or how model outputs are affected.DesignScoping review of current modeling practices. Seven alternative distributions and model averaging over all distributional assumptions were compared on 4 datasets: 2 were stated preference, 1 was revealed preference, and 1 was simulated. Analyses examined model fit, preference distributions, willingness to pay, and forecasting.ResultsAlmost universally, using normal distributions

SUBMITTER: Buckell J 

PROVIDER: S-EPMC12511644 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature