name: "KSB-D09-K0022" description: "Longitudinal Data Analysis: Mixed-effects modeling, growth curve analysis, trajectory identification, time-varying exposure asse..." version: "1.0.0" domain: "D09" domain_name: "Post-Authorization Studies" type: "Knowledge" proficiency_level: "L4" bloom_level: "evaluate" triggers: - "explain longitudinal data analysis" - "what is longitudinal data analysis" - "evaluate longitudinal data analysis" epa_mapping: "EPA-02, EPA-04, EPA-05" cpa_mapping: "CPA-02, CPA-07" regulatory_refs: "FDA-STAT-001, FDA-CFR-006, EMA-GVP-009"
KSB-D09-K0022: Longitudinal Data Analysis
Overview
Domain: D09 - Post-Authorization Studies Type: Knowledge Proficiency Level: L4 (Proficient - Independent practice) Bloom Level: Evaluate
Description
Mixed-effects modeling, growth curve analysis, trajectory identification, time-varying exposure assessment
Context
- Major Section: Post-Authorization Study Design Framework and Methodological Foundation
- Section: Advanced Statistical Analysis and Modeling
EPA Mapping
- EPA-02:3004-3005
- EPA-04:3009-3010
- EPA-05:3011-3012
CPA Pathway
- CPA-02, CPA-07
Regulatory References
- FDA-STAT-001
- FDA-CFR-006
- EMA-GVP-009
Instructions
When this skill is activated, Claude should:
- Demonstrate L4 proficiency in longitudinal data analysis
- Apply evaluate level cognitive skills to evaluate the topic
- Reference relevant regulatory guidance (FDA-STAT-001, FDA-CFR-006, EMA-GVP-009)
- Connect to related EPAs: EPA-02, EPA-04, EPA-05
Key Competencies
- Mixed-effects modeling, growth curve analysis, trajectory identification, time-varying exposure assessment
Assessment Criteria
- Can evaluate core concepts independently
- Demonstrates understanding of regulatory context
- Applies knowledge appropriately to PV scenarios
Related Skills
- Other D09 skills in Advanced Statistical Analysis and Modeling
- Cross-domain integrations per DAG architecture
Generated from PV KSB Framework v1.0 | 2025-12-31