by Usha Govindarajulu | Jan 31, 2024 | Biostatistics, Blog, COVID-19, Usha Govindarajulu
January 31, 2024 In an article that appeared in Biometrical Journal, Hu described a new random-intercept accelerated failure time model with Bayesian additive regression trees (riAFT-BART), which can be used to draw causal inferences on population treatment effectts...
by Usha Govindarajulu | Aug 16, 2023 | Biostatistics, Blog, COVID-19, Epidemiology, Healtcare, Usha Govindarajulu
The authors developed a proportional incidence model to estimate vaccine effectiveness (VE) but at the population level. Understanding VE during the COVID-19 pandemic was very important. Since obtaining individual level data linkages, the authors used aggregated...
by Usha Govindarajulu | Dec 21, 2022 | Biostatistics, Blog, COVID-19, Epidemiology, Healtcare, Usha Govindarajulu
December 21, 2022 In an article published on December 14, 2022 in MSN.com, researchers had been studying the effect of COVID-19 and exercise and had found a strong correlation or link between the disease and exercise according to research cited from an article...
by Usha Govindarajulu | Dec 8, 2022 | Biostatistics, Blog, COVID-19, Healtcare, Usha Govindarajulu
December 5, 2022 A recent article that appeared December 1 in JAMA Open Network shows the retrospective analysis of Remdesivir treatment for inpatient mortality among COVID-19 patients using insurance claims data amongst 24,856 adults hospitalized between May 1, 2020...
by Usha Govindarajulu | Nov 23, 2022 | Biostatistics, Blog, COVID-19, Healtcare, Usha Govindarajulu
Issues in COVID-19 research and statistical analyses (Part XVVXVVIV) November 23, 2022 In an article from November 11, 2022 in Health News from NPR, Rob Stein lays out the likelihood of two new Omicron subvariants, BQ.1 and BQ.11 of SARS-Cov-2 having become dominant...