Time-to-Event Analyses

What are time-to-event analyses? 

Time-to-event analysis (also known as survival analysis) is a statistical method used to analyze the time duration until one or more events of interest occur. In clinical research, these events are typically outcomes like disease progression, treatment failure, or patient survival. The goal of time-to-event analysis is to estimate the probability of an event happening over time, accounting for both the timing of the event and the censoring of incomplete data (e.g., patients who drop out or are lost to follow-up). 

Why are time-to-event analyses important? 

Time-to-event analysis is a fundamental method in clinical research for evaluating outcomes over time, particularly in studies involving survival, treatment efficacy, or risk factors. By accurately modeling time-dependent outcomes and accounting for censored data, researchers can draw meaningful insights that influence clinical decisions and improve patient care.