by Usha Govindarajulu | Oct 7, 2026 | Biostatistics, Blog, Epidemiology, Healtcare, Usha Govindarajulu
October 7, 2026 The authors discuss in their short communication whether the hazard function should be used for causal inference in tie-to-event studies and they consider three different potential outcome frameworks (by Rubin, Robins, and Pearl) respectively as well...
by Usha Govindarajulu | Jul 1, 2026 | Biostatistics, Blog, Usha Govindarajulu
July 1, 2026 The authors were motivated by comparing future antibiotic resistance levels from different treatments but found some challenges as patients may only survive under one of the treatments. They approached this through a time-to-event analysis and...
by Usha Govindarajulu | Jul 30, 2025 | Biostatistics, Blog, Usha Govindarajulu
July 30, 2025 The authors present a new method for predictive performance assessment that works for non-parametric and semi-parametric models and can check with addition of a frailty term and also for smoothing. The predictive log-likelihood idea does not work well...
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 24, 2024 | Biostatistics, Blog, Usha Govindarajulu
October 23, 2024 In terms of the Cox proportional hazards model, adding in a lasso feature for variable selection or other penalized method was typically done in the partial likelihood. Their method has sought to add the lasso penalty into the full likelihood. As the...
