Course Assets
Behavioural Modelling course Mallorca, 2025
Below you will find the slides, recordings and downloadable assets from the Behavioural Modelling held in Mallorca.
Wednesday, 7th May
PLANNING YOUR RESEARCH
& EXPERIMENTAL DESIGN
| 9:00 – 10:30 | Introduction to choice modelling 🞄 Key concepts 🞄 Planning a choice study 🞄 Including qualitative research 🞄 Results, application and reweighting 🞄 Decision rules 🞄 Random utility maximisation |
| 10:30 – 11:30 | ~MORNING TEA~ |
| 11:00 – 12:30 | Choice model basics 🞄 The multinomial logit model 🞄 Measurement of variables 🞄 Coding categorical attributes 🞄 Formulating utility functions |
| 12:30 – 1:30 | ~LUNCH BREAK~ |
| 1:30 – 3:00 | Designing choice experiments 🞄 A guide to Experimental design 🞄 Orthogonal and efficient designs 🞄 Design generation in Ngene |
| 3:00 – 3:30 | ~AFTERNOON TEA~ |
| 3:30 – 4:00 | Ngene 🞄 Design scripting 🞄 Design generation |
| 4:00 – 4:30 | Open floor for questions |
| 4:30 (ish) | ~BAR OPEN~ |
| 7:00 | Informal Meetups |
Featured Recordings
Experimental Design
Choice modelling Key Concepts
Slides
Day 1 – Session 1 – A – Key concepts.pdf
Day 1 – Session 1 – B – Planning a choice study.pdf
Day 1 – Session 1 – C – Decision rules.pdf
Day 1 – Session 1 – D – Results, application and reweighting.pdf
Day 1 – Session 2 – A – The multinomial logit model.pdf
Day 1 – Session 2 – B – Measurement of variables.pdf
Day 1 – Session 2 – C – Coding of categorical variables.pdf
Day 1 – Session 2 – D – Formulating utility functions.pdf
Day 1 – Session 3 – A – A guide to experimental design.pdf
Day 1 – Session 3 – B – Orthogonal designs.pdf
Day 1 – Session 3 – C – Efficient designs.pdf
Day 1 – Session 4 – A – Introduction to Ngene.pdf
Thursday, 8th May
MODEL BUILDING
& ESTIMATION
| 9:00 – 10:30 | Model building & estimation 🞄 A guide to Model building 🞄 Model estimation 🞄 Understanding model outputs 🞄 Model comparison |
| 10:30 – 11:30 | ~MORNING TEA~ |
| 11:00 – 12:30 | Random preference heterogeneity 🞄 Latent class models 🞄 Mixed logit |
| 12:30 – 1:30 | ~LUNCH BREAK~ |
| 1:30 – 3:00 | Model estimation in Apollo 🞄 Vanilla Apollo in R 🞄 Integrated Apollo in SurveyEngine 🞄 Advanced Apollo Features |
| 3:00 – 3:30 | ~AFTERNOON TEA~ |
| 3:30 – 4:30 | Modelling Variations 🞄 Willingness to pay space 🞄 Joint Stated and Revealed Preference |
| 4:30 – 5:00 | Open Floor for Questions |
| 5:00 (ish) | ~BAR OPEN~ |
| 7:00 | Dinner Event |
Featured Recordings
Combining Data
Choice modelling Key Concepts
Downloadable Slides
Day 2 – Session 1 – A – Guide to model building.pdf
Day 2 – Session 1 – B – Model estimation and outputs.pdf
Day 2 – Session 1 – C – Model comparison.pdf
Day 2 – Session 2 – A – Introduction to random heterogeneity.pdf
Day 2 – Session 2 – B – Mixed Logit.pdf
Day 2 – Session 2 – C – Latent Class.pdf
Day 2 – Session 3 – A – An introduction to Apollo.pdf
Day 2 – Session 3 – B – MNL in Apollo.pdf
Day 2 – Session 3 – C – Apollo in SurveyEngine.pdf
Day 2 – Session 3 – D – MMNL and LC in Apollo.pdf
Day 2 – Session 4 – A – WTP space.pdf
Day 2 – Session 4 – B – Joint estimation across multiple data sources.pdf
Apollo Modelling Files
Friday, 9th May
PRACTICALITIES
& INTERPRETATION OF RESULTS
| 9:00 – 10:30 | Data collection 🞄 Stated preference data 🞄 Revealed preference data 🞄 A guide to Data collection 🞄 Creating questionnaires |
| 10:30 – 11:30 | ~MORNING TEA~ |
| 11:00 – 12:30 | Surveys 🞄 Beyond simple discrete choices: best-worst scaling and ranking 🞄 How commercial agencies collect data: Panels, RWE, PAGs 🞄 Toolsets: Ngene, Apollo & SurveyEngine |
| 12:30 – 1:30 | ~LUNCH BREAK~ |
| 1:30 – 3:00 | Interpretation of results 🞄 Attribute importance 🞄 Willingness-to-pay and other MRS including QALYS 🞄 Predictions (market shares) and elasticities, Delta method |
| 3:00 – 3:30 | ~AFTERNOON TEA~ |
| 3:30 – 4:30 | Guest Speaker Marco Boeri, Open Health 🞄 Minimum Acceptable Risk (MAR) 🞄 Execution of clinical trials |
| 4:30 – 5:00 | Open Floor for Questions |
| 5:00 (ish) | ~BAR OPEN~ |
| 7:30 | DJ Maik on the harbour |
Featured Recordings
DCEs in Pharma Research
Fraud in Commercial Surveys
Downloadable Slides
Day 3 – Session 1 – A – Revealed and stated preference data.pdf
Day 3 – Session 1 – B – A guide to data collection.pdf
Day 3 – Session 1 – C – Creating questionnaires.pdf
Day 3 – Session 2 – A – Going beyond simple discrete choice.pdf
Day 3 – Session 3 – A – Attribute importance.pdf
Day 3 – Session 3 – B – WTP and other MRS.pdf
Day 3 – Session 3 – C – Computing and reporting confidence metrics.pdf
Day 3 – Session 3 – D – Predictions and elasticities.pdf
Day 3 – Session Guest Ben White on Fraud.pdf
Day 3 – Session Guest Marco Boeri DCEs in Pharma.pdf
Day 3 Session Guest Natalia Bogado Commercial Operations.pdf
Photos from the Course
