While the repeated nature of discrete choice experiments is advantageous from a sampling
efficiency perspective, patterns of choice may differ across the tasks, due, in part, to learning …

Estimation of discrete outcome specifications involves significant hypothesis testing,
including multiple modelling decisions which could affect results and interpretation. Model …

In this stated preferences study, we describe for the first time French citizens' preferences for
various epidemic control measures, to inform longer-term strategies and future epidemics …

Background Artificial intelligence (AI) may improve cancer detection and risk prediction
during mammography screening, but radiologists' preferences regarding its characteristics …

The random parameter logit model has become the dominating model for analyzing stated
choice data in environmental valuation. The unrestricted version of the model with correlated …

The discrete choice experiment approach has been widely applied in developed nations to
examine individual preferences and associated heterogeneity regarding the provision of …

Background. Ethical, economic, political, and legitimacy arguments support the
consideration of public preferences in health technology decision making. The objective was …

Recent interest in the topic of random scale heterogeneity in discrete choice data has led to
the development of specialised tools such as the G-MNL model, as well as repeated claims …

Perinatal depression and anxiety (PNDA) are an international healthcare priority, associated
with significant short-and long-term problems for women, their children and families …

Health utility indices (HUIs) are widely used in economic evaluation. The best–worst scaling
(BWS) method is being used to value dimensions of HUIs. However, little is known about the …