by Usha Govindarajulu | Jun 17, 2025 | Biostatistics, Blog, Machine Learning, Usha Govindarajulu
June 18, 2025 The goal of this paper was to bridge gaps in understanding how to use machine learning (ML) methods for survival by presenting a comprehensive study comparing various ML methods for dynamic survival analysis. They sought to provide researchers and...
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...
by Usha Govindarajulu | Jan 29, 2025 | Biostatistics, Blog, Usha Govindarajulu
January 29, 2025 Many analyses have used clustered data but not everyone considers that clusters may be informative. For example, generalized estimating equations (GEE) and marginal proportional hazards model have been widely used to estimate population-average...
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...
by Usha Govindarajulu | Aug 15, 2024 | Blog
August 15, 2024 In clinical trials that use time to event endpoints, a traditional measure has been using the hazard ratio derived from a Cox proportional hazard regression, but one must satisfy this assumption. Over time, measures that have relaxed this assumption...
