Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Accept all cookies Reject all non-essential cookies Find out more

Methodological innovations in health-based choice modelling

Publications:

Methodological work, including:

- Model averaging of mixed multinomial logistic models

- Recursive bivariate probit modelling

- Multiple discrete-continuous extreme value (MDCEV) models

- Discrete mixtures as an alternative to latent class multinomial logistic models and mixed multinomial logistic models

- Decision field theoretic choice models

 

 

 

Oxford project leads:

Dates:

Ongoing

Funder:

Collaborators

Stephane Hess

David Palma

David Meester

Chiara Calastri

Romain Crastes dit Sourd

Thomas Hancock