by Usha Govindarajulu | Feb 14, 2024 | Blog
In an article in Biometrical Journal, Heinze et al discussed phases of methodological research in biostatistics. The authors of this publication are all members of an international STRATOS (STRengthening Analytical Thinking for Observational Studies) Intiative, whose...
by Usha Govindarajulu | Oct 11, 2023 | Biostatistics, Blog, Usha Govindarajulu
October 11, 2023 In this recent article by Hoogland et al, the authors have proposed combining flexible parametric survival modeling with regularization in order to improve risk prediction modeling for time-to-event data and, thus, they made a unified regularation...
by Usha Govindarajulu | Sep 14, 2023 | Biostatistics, Usha Govindarajulu
September 13, 2023 In their paper, the authors, Wang et al focused on estimation of casual effects of a treatment on survival outcomes with censoring with propensity score (PS) adjustment. They also used alternative measures of survival like restricted average causal...
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 | Aug 2, 2023 | Biostatistics, Blog, Usha Govindarajulu
August 2, 2023 In this article published in June online, Lancker et al describe a way for valid inference of hazard ratios from a Cox regression after variable selection. The problem has been that it is unknown which amount of covariates to use to control for...
