Article
Quantifying bias from dependent left truncation in survival analyses of real world data
2021-08-05
Abstract excerpt
In real world data (RWD) studies, observed datasets are often subject to left truncation, which can bias estimates of survival parameters. Standard methods can only suitably account for left truncation when survival and entry time are independent. Therefore, in the dependent left truncation setting, it is important to quantify the magnitude and direction of estimator bias to determine whether an analysis provides...
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Identifiers and source
- Literature Corpus work
- 473f1dd9-6a10-5e67-9a27-35cd881d6a77
- DOI
- 10.1101/2021.08.02.21261492
