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Estimating survival parameters under conditionally independent left truncation
Databases derived from electronic health records (EHRs) are commonly subject to left truncation, a type of selection bias that occurs when patients need to survive long enough to satisfy certain entry criteria. Standard methods to adjust for left truncation bias rely on an assumption of marginal ind...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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John Wiley & Sons, Inc.
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545094/ https://www.ncbi.nlm.nih.gov/pubmed/35262259 http://dx.doi.org/10.1002/pst.2202 |