Viral Load Sample Management - Machine Interfacing
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Updated
Dec 20, 2024 - TypeScript
Viral Load Sample Management - Machine Interfacing
Simulating drug effects in highly transmissible variants of Sars-CoV-2
We designed a cohort study of changes in viral load after infection with Omicron BA.5.2.48 in a population working in public health industry. The response of Ct values over time was dynamically reflected by multiple imputation for missing values and the construction of a GAM model of Ct values. The file contains data and implemented code.
Applicability Domain Methods of Viral Load and CD4 Lymphocytes.
SAS programs that use eHARS and other data sources, as needed, to identify health outcomes among individuals living with HIV.
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