Learning Path

Survival Analysis in Epidemiology

Basic Biostatistics → Interpreting Survival Analysis Results

12 Knowledge Nodes · 12 Learning Steps · v0 Active

This learning path equips epidemiology and biostatistics students with the knowledge and skills to analyze time-to-event data. Starting from foundational biostatistics and epidemiology concepts, it covers descriptive methods like Kaplan-Meier curves, inferential tests like the log-rank test, and advanced modeling techniques including Cox proportional hazards, time-varying covariates, and competing risks. The path culminates in practical interpretation of survival analysis results.

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12 nodes17 edges1 relationships

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Learning Route

12 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

4 steps

Phase 3

Advanced Topics

4 steps