Online Course: Understanding and Predicting Choice Behaviour in Health: Preference Elicitation and Analysis
Monday 22 April 2024 at 8:00 am - Wednesday 24 April 2024 at 5:00 pm
Methods for understanding how choices are applied in health care to assess preferences, analyse policies, help to develop randomised controlled trials, conduct non-market valuation, and forecast behaviour. This course teaches introductory methods for devising experiments and modelling choice data in health care.
The course is designed for those who need to perform discrete choice analysis in healthcare and those who need to understand the issues that health researchers face when performing these analyses. This could include researchers and decision makers from public, commercial, and academic organisations concerned with understanding health preferences.
There are no formal prerequisites for attendance, but participants should have some understanding of basic statistics and regression techniques, including multinomial logistic regression. Choice modelling will be conducted using R (using the Apollo package for choice models), and some familiarity with R software is advised. Ngene software will be used for experimental design, though no prior experience is required.
The course will consist of five LIVE tutorial sessions and will not be recorded. Therefore, to gain the maximum benefit, please ensure you are able to attend the live sessions. Live sessions will last for 4 hours each. Live sessions include lectures for course materials, and live coding of models and experimental designs.
The five taught sessions will cover the following topics:
- Introduction to choice models, data types, and analysing preferences in health
- Model specification, estimation, post-estimation analyses, and interpretation
- Experimental design and case studies in health
- Heterogeneity part (i): deterministic and random tastes
- Heterogeneity part (ii): attitudes
For booking enquiries, please contact the HERC Administration team at firstname.lastname@example.org
All course details including course fees, registration and payment information can be found on the HERC web page.