By name: "KSB-D10-K0003" description: "Bayesian Decision Theory: Prior probability specification, posterior probability updating, decision trees construction, expect..." version: "1.0.0" domain: "D10" domain_name: "Benefit-Risk Assessment" type: "Knowledge" proficiency_level: "L4" bloom_level: "create" triggers: - "explain bayesian decision theory" - "what is bayesian decision theory" - "create bayesian decision theory" epa_mapping: "EPA-03, EPA-05, EPA-08" cpa_mapping: "CPA-02, CPA-03" regulatory_refs: "CIOMS-X, ICH-E2E"
KSB-D10-K0003: Bayesian Decision Theory
Overview
Domain: D10 - Benefit-Risk Assessment Type: Knowledge Proficiency Level: L4 (Proficient - Independent practice) Bloom Level: Create
Description
Prior probability specification, posterior probability updating, decision trees construction, expected utility maximization, value of information analysis
Context
- Major Section: Benefit-Risk Assessment Theoretical Foundation and Decision Science
- Section: Decision-Making Framework Architecture and Methodological Foundation
EPA Mapping
- EPA-03:3006-3008
- EPA-05:3011-3012
- EPA-08:3018-3019
CPA Pathway
- CPA-02, CPA-03
Regulatory References
- CIOMS-X
- ICH-E2E
Instructions
When this skill is activated, Claude should:
- Demonstrate L4 proficiency in bayesian decision theory
- Apply create level cognitive skills to create the topic
- Reference relevant regulatory guidance (CIOMS-X, ICH-E2E)
- Connect to related EPAs: EPA-03, EPA-05, EPA-08
Key Competencies
- Prior probability specification, posterior probability updating, decision trees construction, expected utility maximization, value of information analysis
Assessment Criteria
- Can create core concepts independently
- Demonstrates understanding of regulatory context
- Applies knowledge appropriately to PV scenarios
Related Skills
- Other D10 skills in Decision-Making Framework Architecture and Methodological Foundation
- Cross-domain integrations per DAG architecture
Generated from PV KSB Framework v1.0 | 2025-12-31