by Usha Govindarajulu | Oct 23, 2025 | Biostatistics, Blog, Usha Govindarajulu
October 22, 2025 The authors studied the approximate maximum likelihood estimation (AMLE), which has been proved to be an effective method to correct both measurement error and misclassification simultaneously in a logistic regression model, to correct biases caused...
by Usha Govindarajulu | Sep 24, 2025 | Biostatistics, Blog, Usha Govindarajulu
September 22, 2025 The authors have presented a new method to allow accelerated failure time models (AFTs) to have a flexible parametric framework and to also allow implementing mixture and non-mixture cure models. The authors aimed to introduce extensions to the...
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 | May 7, 2025 | Biostatistics, Blog, Usha Govindarajulu
May 7, 2025 The authors have presented a tutorial on joint latent class models (JLCMs), which are a statistical approach to allowing to simultaneously account for two outcomes related to disease progression, a longitudinal measure and a time-to-event measure. A linear...
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...
