| Literature DB >> 28733216 |
Ilana M Trumble1, Andrew G Allmon2, Nancie M Archin3, Joseph Rigdon4, Owen Francis2, Pedro L Baldoni2, Michael G Hudgens2.
Abstract
Serial limiting dilution (SLD) assays are used in many areas of infectious disease related research. This paper presents SLDAssay, a free and publicly available R software package and web tool for analyzing data from SLD assays. SLDAssay computes the maximum likelihood estimate (MLE) for the concentration of target cells, with corresponding exact and asymptotic confidence intervals. Exact and asymptotic goodness of fit p-values, and a bias-corrected (BC) MLE are also provided. No other publicly available software currently implements the BC MLE or the exact methods. For validation of SLDAssay, results from Myers et al. (1994) are replicated. Simulations demonstrate the BC MLE is less biased than the MLE. Additionally, simulations demonstrate that exact methods tend to give better confidence interval coverage and goodness-of-fit tests with lower type I error than the asymptotic methods. Additional advantages of using exact methods are also discussed.Entities:
Keywords: Dilution assay; HIV; Infectious units; Latency; Maximum likelihood estimation; Software
Mesh:
Year: 2017 PMID: 28733216 PMCID: PMC5595663 DOI: 10.1016/j.jim.2017.07.004
Source DB: PubMed Journal: J Immunol Methods ISSN: 0022-1759 Impact factor: 2.303