Prior Elicitation: Teaching Old Dogs New Tricks PSI Annual Conference 15th – 17th May 2017 Kimberley Hacquoil, Statistics, Programming and Data Strategy GSK Maria Costa, Statistics, Programming and Data Strategy GSK Outline Introduction Background Prior Elicitation eLearning Overview eLearning Development Process eLearning Demonstration Challenges & Learnings Conclusion Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 2 Introduction Prior elicitation is the process through which expert knowledge about a quantity of interest (e.g., treatment effect) is elicited from a subject matter expert and represented through a probability distribution In order to participate, experts need to understand basic probability concepts What is a subjective probability? How can uncertainty be represented through a probability distribution? Which subjective judgements should be made and how to assess these? For a prior elicitation to be effective it is important to train experts (typically non-statisticians) in these concepts This training component is a challenging and time-consuming task In this talk we will share GSK’s experience in developing and implementing an eLearning to train experts in the fundamental statistical concepts underlying a prior elicitation Objective: “To create a fit-for-purpose eLearning which would train experts for prior elicitation using Roulette and Quartile methods” In collaboration with Tony O’Hagan and Grifo Multimedia Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 3 Background Since 2014 GSK have conducted ~ 35 Prior Elicitation sessions Problem definition (project team) Limited /conflicting evidence; high uncertainty Decision problem or statistical model Pre-elicitation phase (project statistician & physician + facilitator) Decision to conduct elicitation Frame problem Select experts Select method Prepare evidence dossier Elicitation phase (experts + facilitator) Carry out elicitation Currently, training happens in a separate ~45 min meeting that occurs prior to the actual elicitation session This can be challenging as experts are unlikely to be available at the same time (particularly if in multiple time zones) leading to multiple training sessions being required Training Development of eLearning streamlines training process and allows “just in time” approach to training Post-elicitation phase (facilitator) Documentation Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 4 Prior Elicitation eLearning Overview The eLearning curriculum is composed of 4 modules... Module 0: Introduction Module 1: Probabilities Module 2: Elicitation Module 3: Assessment • Introduction to eLearning and the concept of expert judgement elicitation • Overview of eLearning modules • How subjective probabilities can be used to represent knowledge and uncertainty about events of interest • How uncertainty can be described by a probability distribution and how to interpret it • Methods for expert elicitation and overview of structure of elicitation session • How the Quartile and Roulette methods work – which subjective judgements are required? • Group elicitation: the consensus prior and the role of the rational impartial observer • Assessment: is the expert able to make the necessary judgements using either the Quartile or Roulette methods and does he/she understand the implications of those judgements? Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 5 eLearning Development Process Planning and Design Storyboards Scope of work Development Create Modules Test Modules Integration UAT GSK Systems Roll out and Embedding Implement Prior Elicitation: Kimberley Hacquoil & Maria Costa Maintenance PSI 2017 6 eLearning Development Process Planning and Design Storyboards Scope of work Development Create Modules Test Modules Integration UAT GSK Systems Roll out and Embedding Implement Prior Elicitation: Kimberley Hacquoil & Maria Costa Maintenance PSI 2017 7 eLearning Development Process Planning and Design Storyboards Scope of work Development Create Modules Test Modules Integration UAT GSK Systems Roll out and Embedding Implement Prior Elicitation: Kimberley Hacquoil & Maria Costa Maintenance PSI 2017 8 eLearning Development Process Planning and Design Storyboards Scope of work Development Create Modules Test Modules Integration UAT Server hosting the learning module (mylearning) GSK Systems MATCH Server Roll out and Embedding Implement Prior Elicitation: Kimberley Hacquoil & Maria Costa Maintenance PSI 2017 9 Server hosting the learning module (mylearning) eLearning Development Process Planning and Design Storyboards Scope of work Development Create Modules Test Modules Integration UAT GSK Systems Roll out and Embedding Implement Prior Elicitation: Kimberley Hacquoil & Maria Costa Maintenance PSI 2017 10 eLearning Development Process Planning and Design Storyboards Scope of work Development Create Modules Test Modules Communication of new eLearning to target audience Integration UAT GSK Systems Documentation of eLearning completion to ensure compliance Gather feedback on content and usability Roll out and Embedding Implement Prior Elicitation: Kimberley Hacquoil & Maria Costa Maintenance PSI 2017 11 eLearning Development Process Planning and Design Storyboards Scope of work Server hosting the learning module (mylearning) Development MATCH Server Create Modules Test Modules Integration UAT Server hosting the learning module (mylearning) MATCH Server GSK Systems Roll out and Embedding Implement Prior Elicitation: Kimberley Hacquoil & Maria Costa Maintenance PSI 2017 12 eLearning Demonstration Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 13 Challenges & Learnings Challenges Learnings Teaching in eLearning environment Project management Balancing teaching, examples, assessment Regular meetings/interactions Balancing length of eLearning and information Talking to the right people overload Capture comments in a more structured way Ideal vs too hard/long to implement/program Coordination issues Integrating different systems Understanding what people need and when Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 14 Conclusion Where we are... Currently going through User Acceptance Testing stages of implementation Selected 2 clinical experts: one with and one without experience in prior elicitation Also included experienced statisticians (experienced facilitator) as part of UAT Plan is to roll out eLearning by end of May/ early June (depending on UAT outcome) Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 15 Acknowledgements Tony O’Hagan Bill O’Shea, Denise Bird, Kate Foster Nigel Dallow, Nicky Best, Tim Montague Antonio De Girolamo Duncan Richards, Rajnish Saini Livio Melfi Roberta Memeo Ed Morris Jeremy Oakley Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 16 Thank You Back Up 18 Screen Shots Module 0 - Introduction Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 19 Screen Shots Module 1 – Subjective Probabilities Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 20 Screen Shots Module 1 – Subjective Probabilities Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 21 Screen Shots Module 1 – Representing Knowledge through Probability Distributions Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 22 Screen Shots Module 1 – Interpreting Probability Distributions Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 23 Screen Shots Module 1 – Assessing Understanding of Probability Distributions Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 24 Screen Shots Module 2 – Elicitation Methods Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 25 Screen Shots Module 2 – Example to Illustrate Elicitation Methods Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 26 Screen Shots Module 2 – Quartile Method Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 27 Screen Shots Module 2 – Quartile Method Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 28 Screen Shots Module 2 – Roulette Method Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 29 Screen Shots Module 2 – Roulette Method Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 30 Screen Shots Module 2 – Structure of an Elicitation Session Facilitator then leads group discussion: Objective is to reach a consensus prior, representing the views of a Rational Impartial Observer Session starts with individual elicitation: Each expert is asked to represent their prior knowledge through a distribution Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 31 Screen Shots Module 3 – The Quantity of Interest Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 32 Screen Shots Module 3 – The Evidence Dossier Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 33 Screen Shots Module 3 – Assessing the Quartile Method using MATCH Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 34 Screen Shots Module 3 – Assessing the Quartile Method using MATCH Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 35 Screen Shots Module 3 – Assessing the Roulette Method Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 36 Screen Shots Module 3 – Feedback Prior Elicitation: Kimberley Hacquoil & Maria Costa PSI 2017 37
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