Article

Extending Inferences From A Real-world Clinico-Genomic Database Non-Small Cell Lung Cancer Sample To The Underlying Target Population Using Combined Information From Cancer Registrations

2025-02-11

Abstract excerpt

<h4>Purpose: </h4> The study aimed to extend inferences on the Average Treatment Effects (ATEs) from a Flatiron Health Clinico-Genomic Database (CGDB) Non-Small Cell Cancer (NSCLC) sample to the target population represented by SEER cancer registrations. The work also demonstrates the potential for the non-random selection to cause bias through a quantitative framework that compares the marginal and joint distribu...

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Literature Corpus work: 3f433ef7-42f7-5b1d-bd1a-c27da27e1827
DOI: 10.22541/au.173928970.07153043/v1

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