Survival Curve

Survival Curves (Kaplan-Meier plots) are essential for time-to-event analysis in clinical trials and epidemiological studies. This collection showcases exemplary survival curve examples from oncology research, reliability engineering, and longitudinal studies. Critical for researchers analyzing patient outcomes, treatment efficacy, or failure time data. Master techniques for creating publication-quality survival curves with confidence intervals, risk tables, and log-rank test results using R survminer, Python lifelines, and specialized survival analysis packages.