by Usha Govindarajulu | Mar 12, 2026 | Biostatistics, Blog, Usha Govindarajulu
March 12, 2026 In this article, they considered modeling and statistical analysis of dependent competing risks time-to-event data in the presence of long-term survivors. They modeled the effect of the existence of long-term survivors in the population using a mixture...
by Usha Govindarajulu | Feb 11, 2026 | Biostatistics, Blog, Usha Govindarajulu
February 11, 2026 The authors in this article have presented a stepwise guidance on how to extend the simple time-to-first event model to complex multistate methodology, where multiple events are incorporated. They considered non- and semiparametric methods and show...
by Usha Govindarajulu | Jan 14, 2026 | Biostatistics, Blog, Usha Govindarajulu
January 14, 2026 To evaluate the performance of a prediction model in time-to-event outcomes with censoring is very difficult. Interval censoring and competing risks present additional challenges. They proposed two methods to deal with interval censoring: a...
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 | Sep 11, 2024 | Biostatistics, Blog, Usha Govindarajulu
September 11, 2024 This article focused on joint modeling in the presence of informative censoring in a retrospective analysis in palliative care research. There has been a lack of statistical models to handle longitudinal quality of life (QOL) data and...
