ksb-d09-k0021

name	KSB-D09-K0021
description	Survival Analysis Applications: Time-to-event modeling, competing risks analysis, recurrent event methodology, immortal time bias pr...
version	1.0.0
domain	D09
domain_name	Post-Authorization Studies
type	Knowledge
proficiency_level	L1
bloom_level	understand
triggers	["explain survival analysis applications","what is survival analysis applications","explain survival analysis applications"]
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-K0021: Survival Analysis Applications

Overview

Domain: D09 - Post-Authorization Studies Type: Knowledge Proficiency Level: L1 (Novice - Direct supervision required) Bloom Level: Understand

Description

Time-to-event modeling, competing risks analysis, recurrent event methodology, immortal time bias prevention

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:

1. Demonstrate L1 proficiency in survival analysis applications
2. Apply understand level cognitive skills to explain the topic
3. Reference relevant regulatory guidance (FDA-STAT-001, FDA-CFR-006, EMA-GVP-009)
4. Connect to related EPAs: EPA-02, EPA-04, EPA-05

Key Competencies

• Time-to-event modeling, competing risks analysis, recurrent event methodology, immortal time bias prevention

Assessment Criteria

• Can explain 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

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Generated from PV KSB Framework v1.0 | 2025-12-31