Pitfalls in time-to-event analysis of registry data: a tutorial based on simulated and real cases.

ABSTRACT: Survival analysis (also referred to as time-to-event analysis) is the study of the time elapsed from a starting date to some event of interest. In practice, these analyses can be challenging and, if methodological errors are to be avoided, require the application of appropriate techniques. By using simulations and real-life data based on the French national registry of patients with primary immunodeficiencies (CEREDIH), we sought to highlight the basic elements that need to be handled correctly when performing the initial steps in a survival analysis. We focused on non-parametric methods to deal with right censoring, left truncation, competing risks, and recurrent events. Our simulations show that ignoring these aspects induces a bias in the results; we then explain how to analyze the data

SUBMITTER: Alligon M 

PROVIDER: S-EPMC11345615 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature