time-to-event analysis
Statistical method analyzing time until occurrence of specific clinical outcomes, accounting for censored data.
Full Definition
Time-to-event analysis is a statistical approach that examines the duration from a starting point until a particular event occurs, while accounting for participants who do not experience the event during the study period (censored observations). Common methods include Kaplan-Meier survival curves and Cox proportional hazards models. In psychiatric research, this analysis is frequently used to study time to relapse, time to response, time to discontinuation, or time to remission. The approach is particularly valuable because it utilizes all available follow-up data, even from participants who withdraw early or complete the study without experiencing the event of interest.
Usage
Usage note: Hyphenate when used as compound modifier: 'time-to-event endpoint'.
In Context
- "Time-to-event analysis showed significantly longer time to relapse in the active treatment group." — Statistical analysis report
- "The protocol specified time-to-event methodology for analyzing time to first mood episode." — Clinical trial protocol