by Usha Govindarajulu | Jan 19, 2023 | Biostatistics, Blog, Usha Govindarajulu
January 16, 2023 In an article recently published online in The Biometrical Journal, Handorf et al seek to understand what is the best way to model survival data in the presence of non-proportional hazards, perhaps from the effect of confounding variables. The...
by Usha Govindarajulu | Jan 7, 2023 | Biostatistics, Blog, Usha Govindarajulu
January 3, 2022 In an article originally published online August 13, 2021, but published recently in print, Vakulenko-Lagun et al discuss a technique to handle dependence between event times and left truncation. The left truncation generally happens due when there is...
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...
