This paper develops an easily-implementable version of Page's CUSUM quickest-detection test, designed to work in certain composite hypothesis scenarios with time-varying data statistics. The decision statistic can be cast in a recursive form and is particularly suited for on-line analysis. By back-testing our approach on publicly-available COVID-19 data we find reliable early warning of infection flare-ups, in fact sufficiently early that the tool may be of use to decision-makers on the timing of restrictive measures that may in the future need to be taken.
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http://dx.doi.org/10.1109/lsp.2021.3068072 | DOI Listing |
Front Microbiol
October 2024
Faculty of Engineering and Applied Sciences, Cranfield University, Cranfield, United Kingdom.
BMC Bioinformatics
October 2024
Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, Australia.
Background: The increased interest in research on DNA damage in neurodegeneration has created a need for the development of tools dedicated to the analysis of DNA damage in neurons. Double-stranded breaks (DSBs) are among the most detrimental types of DNA damage and have become a subject of intensive research. DSBs result in DNA damage foci, which are detectable with the marker γH2AX.
View Article and Find Full Text PDFJ Anal Toxicol
October 2024
Office of the Chief Medical Examiner, San Francisco, CA 94124, United States.
One of the quickest-growing subclasses of novel psychoactive substances is novel synthetic opioids (NSOs), which are categorized as fentanyl analogs (fentalogs) or nonfentanyl opioids that bind to the mu-opioid receptor. Increased detections of NSOs have been observed in the USA. However, limited information on their prevalence outside of the East Coast is available.
View Article and Find Full Text PDFPharmaceut Med
July 2024
Biogen, Safety and Benefit Risk Management, Research Triangle Park, NC, USA.
Introduction: Several quantitative methods have been established, in pharmacovigilance, to detect signals of disproportionate reporting (SDRs) from databases containing reports of adverse drug reactions (ADRs). The signal detection algorithms (SDAs) and the source of the reporting per product vary, but it is unclear whether any algorithm can provide satisfactory performance using data with such large variance factors.
Objective: Determine the appropriate SDA for Biogen's internal Global Safety Database (GSD) given the characteristics of the database including frequencies of events, data skewness, outliers, and missing information.
J AOAC Int
June 2024
University of Kentucky, Kentucky Tobacco Research and Development Center, 1401 University Dr, Lexington, Kentucky, 40546.
Background: The 2018 Farm Bill defines hemp as Cannabis sativa L. with a tetrahydrocannabinol (THC) concentration not more than 0.3% on a dry weight basis where THC is implied to be total THC (THCTotal) including both acid (Δ9-THCA) and neutral (Δ9-THC) forms.
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