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Hindi Editorial, J Immunodefic Disor Vol: 1 Issue: 1
Methods for Analyzing Immunodeficiency Data with a Lower Limit of Quantification
| Getachew A. Dagne* |
| University of South Florida, USA |
| Corresponding author : Getachew A. Dagne Department of Epidemiology and Biostatistics, College of Public Health, University of South Florida, USA E-mail: gdagne@health.usf.edu |
| Received: June 28, 2012 Accepted: June 29, 2012 Published: July 02, 2012 doi: 10.4172/2324-853X.1000e105 |
| Citation: Getachew A. Dagne (2012) Methods for Analyzing Immunodeficiency Data with a Lower Limit of Quantification . J Immunodefic Disor 1:1. doi:10.4172/2324-853X.1000e105 |
Abstract
Methods for Analyzing Immunodeficiency Data with a Lower Limit of Quantification
Appropriate modeling of the limit of detection is critical in the sense that detecting small amount or concentration of agents can be extremely important to assess disease status, identify environmental exposure or quantify levels of viral load and vaccine antibody. In AIDS studies, for example, researchers have recently shown great interest in modeling viral load (plasma HIV-1 RNA copies) data after initiation of a potent antiretroviral (ARV) treatment.