Learning, fatigue and preference formation in discrete choice experiments
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 …
efficiency perspective, patterns of choice may differ across the tasks, due, in part, to learning …
Extensive hypothesis testing for estimation of mixed-Logit models
Estimation of discrete outcome specifications involves significant hypothesis testing,
including multiple modelling decisions which could affect results and interpretation. Model …
including multiple modelling decisions which could affect results and interpretation. Model …
Preferences for COVID-19 epidemic control measures among French adults: a discrete choice experiment
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 …
various epidemic control measures, to inform longer-term strategies and future epidemics …
Radiologist preferences for artificial intelligence-based decision support during screening mammography interpretation
Background Artificial intelligence (AI) may improve cancer detection and risk prediction
during mammography screening, but radiologists' preferences regarding its characteristics …
during mammography screening, but radiologists' preferences regarding its characteristics …
A more flexible model or simply more effort? On the use of correlated random parameters in applied choice studies
P Mariel, J Meyerhoff - Ecological Economics, 2018 - Elsevier
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 …
choice data in environmental valuation. The unrestricted version of the model with correlated …
Preference heterogeneity and scale heterogeneity in urban river restoration: A comparative study between Brussels and Guangzhou using discrete choice …
The discrete choice experiment approach has been widely applied in developed nations to
examine individual preferences and associated heterogeneity regarding the provision of …
examine individual preferences and associated heterogeneity regarding the provision of …
Australian public preferences for the funding of new health technologies: a comparison of discrete choice and profile case best-worst scaling methods
Background. Ethical, economic, political, and legitimacy arguments support the
consideration of public preferences in health technology decision making. The objective was …
consideration of public preferences in health technology decision making. The objective was …
Linking response quality to survey engagement: a combined random scale and latent variable approach
S Hess, A Stathopoulos - Journal of Choice Modelling, 2013 - Elsevier
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 …
the development of specialised tools such as the G-MNL model, as well as repeated claims …
Women's preferences for treatment of perinatal depression and anxiety: a discrete choice experiment
Perinatal depression and anxiety (PNDA) are an international healthcare priority, associated
with significant short-and long-term problems for women, their children and families …
with significant short-and long-term problems for women, their children and families …
Is best–worst scaling suitable for health state valuation? A comparison with discrete choice experiments
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 …
(BWS) method is being used to value dimensions of HUIs. However, little is known about the …