by Usha Govindarajulu | Nov 5, 2026 | Artificial Intelligence, Biostatistics, Blog, Machine Learning, Usha Govindarajulu
November 4, 2026 Cox regression (Cox, 1972) is most widely used for developing prognostic models in medical time-to-event data (Collins et al, 2014, 2011; Goldstein et al 2017; Hueting et al. 2022; Mahar et al 2017; Mallett et al 2010; Phung et al. 2019; Steyerberg...
by Usha Govindarajulu | Oct 21, 2026 | Biostatistics, Blog, Usha Govindarajulu
Statistical issues in survival analysis (Shared frailty # & size clusters) October 21, 2026 The authors conducted a set of Monte Carlo simulations to assess the impact of the number and the size of clusters and within-cluster correlation in outcomes on the...
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 | Sep 23, 2026 | Biostatistics, Blog, Usha Govindarajulu
Statistical issues in survival analysis (NPH hetero covs) September 23, 2026 Currently there is no unified framework for incorporating heterogeneously time-varying effects of covariates. Such effects occur when a covariate affects survival not only in a heterogeneous...
by Usha Govindarajulu | Sep 10, 2026 | Biostatistics, Blog, Usha Govindarajulu
September 10, 2026 The authors proposed use of an outcome-adaptive Lasso (OAL) Cox proportional hazards model as a novel variable selection framework causal inference for right censored data in light of a critical limitation in survival analysis where...
by Usha Govindarajulu | Aug 27, 2026 | Artificial Intelligence, Biostatistics, Blog, Machine Learning, Professor, Usha Govindarajulu
August 26, 2026 In their article, Lang et al (2026) discuss the issues of assessing quality in preclinical research statistically in the age of the emerging use of artificial intelligence (AI). They aimed to show how large language models (LLMs) and more generally...
