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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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Literature Corpus work
473f1dd9-6a10-5e67-9a27-35cd881d6a77
DOI
10.1101/2021.08.02.21261492
Open publication

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Quantifying bias from dependent left truncation in survival analyses of real world dataDOI 10.1101/2021.08.02.21261492
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