by Usha Govindarajulu | Mar 12, 2025 | Biostatistics, Blog, Healtcare
March 12, 2025 The authors used a novel method based on wavelet filtering and landmarking to obtain the prognostic role of a biomarker in patient death. Wavelet filters have been common in time series data to extract features and reduce noise. They also utilized...
by Usha Govindarajulu | Jan 15, 2025 | Biostatistics, Blog, Healtcare, Usha Govindarajulu
January 15, 2025 In this paper the authors proposed prognostic accuracy measures for recurrent event data. They did so by developing semiparametric estimators for making inferences about the prognostic accuracy measures that accommodate recurrent events. Usually a...
by Usha Govindarajulu | Oct 9, 2024 | Biostatistics, Epidemiology, Healtcare, Usha Govindarajulu
Statistical issues in survival analysis (Part XVVVVV) October 9, 2024 The authors have discussed some issues in survival analysis in relation to Kaplan-Meier curves. They then came up with alternative ways to design, analyze, and interpret the results of the trials...
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 | Apr 26, 2023 | Biostatistics, Blog, COVID-19, Epidemiology, Healtcare, Usha Govindarajulu
April 26, 2023 In a recent article that appeared in Statistics in Medicine, Arntzen et al discussed that quarantine time length for persons infected with SARS-CoV-2 was based on incubation time distribution estimates. However, given the unknowns about time to...
by Usha Govindarajulu | Mar 16, 2023 | Biostatistics, Blog, COVID-19, Healtcare, Machine Learning, Usha Govindarajulu
March 15, 2023 In a recent article that appeared in Science News, a teach from Johns Hopkins University discussed their proof of concept study to show how their machine learning system used electronic health data to make predictions to determine who would be most...
