by Usha Govindarajulu | Apr 22, 2026 | Biostatistics, Blog, Machine Learning, Usha Govindarajulu
April 22, 2026 Written by, In this article, they studied regression analysis of arbitrarily censored and left-truncated data under a popular semiparametric proportional odds model. They developed a new estimation approach via an expectation and maximization algorithm...
by Usha Govindarajulu | Apr 8, 2026 | Biostatistics, Blog, Usha Govindarajulu
April 8, 2026 The Restricted Mean Survival Time (RMST) is a metric to compare survival between two treatment groups without relying on proportional hazards, especially that hazard ratios are constant over time. For covariate adjustment, Andersen et al’s (2004) method...
by Usha Govindarajulu | Mar 25, 2026 | Biostatistics, Blog, Usha Govindarajulu
March 25, 2026 The goal of this article was to present a methodology to design and analyze an adaptive clinical trial with sample size recalculation at interim analysis, when the restricted mean survival time (RMST) is the primary endpoint. Especially, we focus on the...
by Usha Govindarajulu | Dec 4, 2025 | Biostatistics, Blog, Usha Govindarajulu
December 3, 2025 In this short article, Per Kragh Andersen has given a rebuttal to the article by Beyersmann et al (2025) which was about hazards constituting key quantities for time-to-event data. Despite arguments by other statisticians, Beyersmann et al. (2025)...
by Usha Govindarajulu | Nov 6, 2025 | Biostatistics, Blog, Usha Govindarajulu
November 6, 2025 For these authors, the goal of this paper was to apply pseudo-observations to estimate the regression coefficients in the Cox proportional hazards model under length-biased right-censored (LBRC) data. On some occasions as they found, observations may...
