Using Causal Inference to Estimate the Effect of Pre-Exposure Prophylaxis (PrEP) for HIV Prevention on COVID-19 Mortality-Reference-Cited by-同舟云学术

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Using Causal Inference to Estimate the Effect of Pre-Exposure Prophylaxis (PrEP) for HIV Prevention on COVID-19 Mortality

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Subramanian Ajan¹,Huang Yong¹,Pinto Melissa D.²,Downs Charles A.³,Rahmani Amir M.¹

Affiliation:

1. University of California,Dept. of Computer Science,Irvine

2. University of California,School of Nursing,Irvine

3. University of Miami,School of Nursing and Health Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340453.pdf?arnumber=10340453

Reference13 articles.

1. Causal inference in statistics: An overview

2. A Survey on Causal Inference

3. Quantifying Biases in Causal Models: Classical Confounding vs Collider-Stratification Bias

4. Pre-exposure prophylaxis during the SARS-CoV-2 pandemic: can PrEP prevent COVID-19-related symptoms?

5. Real-world effectiveness of pre-exposure prophylaxis in men at high risk of HIV infection in France: a nested case-control study

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