029. Introduction to Time-to-Event Data

Dr. Dylan Spicker
11 Feb 202224:58

Summary

TLDRThis lecture introduces time-to-event data, a key concept in survival analysis, focusing on the duration until a specific event occurs. Examples include recovery time from COVID-19 symptoms and the length of professional football players' careers. The lecture discusses challenges like censoring and truncation, where data may be incomplete or biased. It outlines the importance of defining a clear time origin, event occurrence, and measurement scale for accurate analysis, setting the stage for further exploration of survival analysis techniques.

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Related Tags
Survival AnalysisTime to EventData AnalysisStatistical MethodsCensoringTruncationBiostatisticsLongitudinal DataHealthcare StudiesStatistical Challenges