Survival analysis software

Survival analysis software is a tool used to analyze time-to-event data, often focusing on how long it takes for a certain event to occur, such as recovery from a disease or customer churn. It helps researchers and organizations understand factors that influence the timing of these events and make predictions. Common models used include Kaplan-Meier for estimating survival rates and Cox proportional hazards for examining the impact of variables. This software is crucial in fields like healthcare, finance, and social sciences, assisting in decision-making and improving outcomes based on empirical evidence.