by Usha Govindarajulu | Mar 27, 2024 | Biostatistics, Blog, Usha Govindarajulu
March 27, 2024 In this article, the authors described their Schemper-Henderson measure to account for explained variation for survival outcomes, extended to allow for competing risks. They defied explained variation as the relative gain in predictive accuracy when...
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 | Jul 19, 2023 | Biostatistics, Usha Govindarajulu
Statistical issues in survival analysis (Part XI) July 19, 2023 The authors, Ning et al, have proposed what they refer to as a “broad class” of “so called” Cox-Aalen transformation models which have elements of both multiplicative and additive covariate effects...
by Usha Govindarajulu | Jul 6, 2023 | Biostatistics, Blog, Usha Govindarajulu
July 5, 2023 The restricted mean survival time (RMST) is a concept that has been invented in survival analysis as an alternative to the hazards ratio, which can be difficult to interpret and also, as derived from Cox model, can have difficulty fitting into the...
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...