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Estimating the Impact of Pre-Exposure Prophylaxis (PrEP) on Mortality in COVID-19 Patients: A Causal Inference Approach

2023-03-23

Abstract excerpt

Traditional machine learning (ML) approaches learn to recognize patterns in the data but fail to go beyond observing associations. Such data-driven methods can lack generalizability when the data is outside the independent and identically distributed (i.i.d) setting. Using causal inference can aid data-driven techniques to go beyond learning spurious associations and frame the data-generating process in a causal l...

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Literature Corpus work
22f167a7-c19a-577b-b574-0d70de91e51b
DOI
10.1101/2023.03.16.23287365
Open publication

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Estimating the Impact of Pre-Exposure Prophylaxis (PrEP) on Mortality in COVID-19 Patients: A Causal Inference ApproachDOI 10.1101/2023.03.16.23287365
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