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Length time bias (or length bias) is an overestimation of survival duration due to the relative excess of cases detected that are asymptomatically slowly progressing, while fast progressing cases are detected after giving symptoms.
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Length time bias occurs when cases who were detected earlier by SCREENING seem to have survived longer than cases DIAGNOSED after symptoms appear just because screening tests tend to identify less aggressive cases of the disease more often than aggressive ones.
Nov 8, 2021 · Length time bias is similar to lead-time bias; however, it refers to the overestimation of an individual’s survival time due to a large number of cases that are asymptomatic and slowly progressing with a smaller number of cases that are rapidly progressive and symptomatic.
- Aleksandar Popovic, Martin R. Huecker
- 2023/06/20
- Rutgers NJMS, University of Louisville
Sep 28, 2023 · Length time bias refers to the fact that slower and more indolent diseases are more likely to be detected by screening. In its most extreme form, length time bias can lead to overdiagnosis of diseases that would become clinically apparent in a person’s lifetime. Download chapter PDF.
- Adam.cohen@inova.org
Lead-time and length-time bias are critical in analysing clinical trials involving time-to-event analysis. This article aims to simplify the concepts of lead-time and length-time bias and some solutions for controlling them.
In this short epidemiology tutorial you will learn what length time bias is. This type of bias occurs in observational data in which outcomes of screening is...
- 2 min
- 1392
- Nienke de Glas, MD PhD
Length time bias refers to the tendency of screening to detect indolent disease, meaning disease that is so slow that it would not cause a problem in a person’s life - time if left untreated.
