time-to-event analysis
Statistical methodology examining the time until occurrence of a specific event, accommodating censored data in cardiovascular trials.
Full Definition
Time-to-event analysis, also known as survival analysis, is a statistical approach used extensively in cardiovascular research to analyze the time from study entry until occurrence of a predefined event such as death, myocardial infarction, or revascularization. This methodology is particularly valuable because it handles censored data (patients who don't experience the event during follow-up) and accounts for varying follow-up durations. Common techniques include Kaplan-Meier estimation for event-free survival curves and Cox proportional hazards regression for multivariable analysis. Time-to-event analysis forms the foundation for calculating hazard ratios and is essential for interpreting cardiovascular outcome trials.
Usage
Usage note: Specify the event of interest and censoring criteria when describing methodology.
In Context
- "Time-to-event analysis revealed a 25% reduction in cardiovascular death with the investigational therapy." — clinical trial results
- "The study employed time-to-event methodology to account for differential follow-up durations." — statistical analysis plan