Course Assets
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 β 10:30 | Introduction to choice modelling π Key concepts π Planning a choice study π Including qualitative research π Results, application and reweighting π Decision rules π Random utility maximisation |
| 10:30 β 11:30 | ~MORNING TEA~ |
| 11:00 β 12:30 | Choice model basics π The multinomial logit model π Measurement of variables π Coding categorical attributes π Formulating utility functions |
| 12:30 β 1:30 | ~LUNCH BREAK~ |
| 1:30 β 3:00 | Designing choice experiments π A guide to Experimental design π Orthogonal and efficient designs π Design generation in Ngene |
| 3:00 – 3:30 | ~AFTERNOON TEA~ |
| 3:30 – 4:00 | Ngene π Design scripting π Design generation |
| 4:00 β 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 β 10:30 | Model building & estimation π A guide to Model building π Model estimation π Understanding model outputs π Model comparison |
| 10:30 β 11:30 | ~MORNING TEA~ |
| 11:00 β 12:30 | Random preference heterogeneity π Latent class models π Mixed logit |
| 12:30 β 1:30 | ~LUNCH BREAK~ |
| 1:30 β 3:00 | Model estimation in Apollo π Vanilla Apollo in R π Integrated Apollo in SurveyEngine π Advanced Apollo Features |
| 3:00 – 3:30 | ~AFTERNOON TEA~ |
| 3:30 β 4:30 | Modelling Variations π Willingness to pay space π 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 β 10:30 | Data collection π Stated preference data π Revealed preference data π A guide to Data collection π Creating questionnaires |
| 10:30 β 11:30 | ~MORNING TEA~ |
| 11:00 β 12:30 | Surveys π Beyond simple discrete choices: best-worst scaling and ranking π How commercial agencies collect data: Panels, RWE, PAGs π Toolsets: Ngene, Apollo & SurveyEngine |
| 12:30 β 1:30 | ~LUNCH BREAK~ |
| 1:30 β 3:00 | Interpretation of results π Attribute importance π Willingness-to-pay and other MRS including QALYS π Predictions (market shares) and elasticities, Delta method |
| 3:00 – 3:30 | ~AFTERNOON TEA~ |
| 3:30 β 4:30 | Guest Speaker Marco Boeri, Open Health π Minimum Acceptable Risk (MAR) π 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
