Data Science x Public Health

Competing Risks Analysis: When More Than One Outcome Matters


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What if one of the most common methods in medical research is quietly giving you the wrong answer?

In studies where patients can experience more than one outcome, standard survival analysis methods like Kaplan-Meier can overestimate risk—sometimes by a lot.

In this episode, we break down competing risks analysis, why traditional approaches fail, and how methods like cause-specific hazards and the Fine-Gray model give you the correct answer.

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Data Science x Public HealthBy BJANALYTICS