Abstract
Predicting survival for patients with non-small cell lung cancer (NSCLC) using the traditional Kaplan Meier (KM) model or Cox proportional hazard (CPH) model leads to over-simplification as competing events are ignored. The Fine-Gray (FG) competing risk model accounts for these competing events. This study compared the methodologies for analyzing the impact of various prognostic factors on survival.
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