Kaplan-Meier survival analysis graphically depicts time-to-event outcomes accounting for censored data. Survival curves compare treatment group outcomes. Log-rank tests assess statistical significance. Median survival determination guides clinical interpretation. Subgroup survival analysis identifies differential outcomes.
Regulatory submissions employ Kaplan-Meier analysis demonstrating efficacy. Confidence intervals quantitate estimate uncertainty. Proportional hazards violations warrant alternative analysis. Post-approval monitoring tracks long-term survival. Emerging stratified analysis accounts for prognostic factors.
General Biopharmaceutical Concepts
Kaplan-Meier Survival Analysis
Kaplan-Meier survival analysis is a statistical method used to estimate survival probabilities over time while accounting for censored observations in clinical studies.
Continue Exploring
Browse over 900 biopharmaceutical terms across biologics, ADCs, cell & gene therapy, CMC, clinical development and manufacturing.
Browse Glossary →