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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

2023-06-16

Abstract excerpt

<h4>ABSTRACT</h4> <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 an...

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Literature Corpus work
dfd4c691-cb3f-5851-99c0-ebe2289bcaa1
DOI
10.1101/2023.06.15.23291372
Open publication

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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 RegistrationsDOI 10.1101/2023.06.15.23291372
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