by Usha Govindarajulu | May 21, 2025 | Biostatistics, Blog, Professor, Usha Govindarajulu
May 21, 2025 The authors focused on adjustment for conditional bias in hazard ratios from overall survival (OS) in both interim and final analysis in trial where the overall hierarchical strategy was applied. They first showed a conditional bias (CB) adjusted...
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 | Apr 23, 2025 | Biostatistics, Blog, Usha Govindarajulu
April 23, 2025 The authors have discussed a sample size calculation for restricted mean survival time (RMST) in augmented tests. The RMST was developed as an alternative measure of survival that is non-parametric and does not reply on parametric constraints. It had...
by Usha Govindarajulu | Apr 9, 2025 | Biostatistics, Blog, Usha Govindarajulu
April 9, 2025 The authors have generalized the pseudo-observations approach to bivariate survival data subject to right censoring. Pseudo-observations approach was originally developed by Anderson (2003) for estimating covariates effect on time-to-event data. This...
by Usha Govindarajulu | Mar 27, 2025 | Biostatistics, Blog, Usha Govindarajulu
March 26, 2025 Their primary goal of their paper was to introduce a novel frailty model based on the weighted Lindley (WL) distribution for modeling clustered survival data. They used the weighted Lindley as the frailty distribution. This was a two parameter...
by Usha Govindarajulu | Mar 12, 2025 | Biostatistics, Blog, Healtcare
March 12, 2025 The authors used a novel method based on wavelet filtering and landmarking to obtain the prognostic role of a biomarker in patient death. Wavelet filters have been common in time series data to extract features and reduce noise. They also utilized...
