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The Intersections of COVID-19, HIV, and Race/Ethnicity: Machine Learning Methods to Identify and Model Risk Factors for Severe COVID-19 in a Large U.S. National Dataset.
AIDS Behav. 2024 Feb 7. doi: 10.1007/s10461-024-04266-6. Online ahead of print.
AIDS Behav. 2024.
PMID: 38326668
Bayesian meta-analysis using SAS PROC BGLIMM.
Rott KW, Lin L, Hodges JS, Siegel L, Shi A, Chen Y, Chu H.
Rott KW, et al.
Res Synth Methods. 2021 Nov;12(6):692-700. doi: 10.1002/jrsm.1513. Epub 2021 Jul 21.
Res Synth Methods. 2021.
PMID: 34245227
Free PMC article.
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Causally interpretable meta-analysis: Clearly defined causal effects and two case studies.
Rott KW, Bronfort G, Chu H, Huling JD, Leininger B, Murad MH, Wang Z, Hodges JS.
Rott KW, et al.
Res Synth Methods. 2024 Jan;15(1):61-72. doi: 10.1002/jrsm.1671. Epub 2023 Sep 11.
Res Synth Methods. 2024.
PMID: 37696604
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