by Usha Govindarajulu | Nov 20, 2024 | Biostatistics, Blog, Usha Govindarajulu
November 20, 2024 Most of the literature on mixture cure models has focused on using Cox proportional hazards regression for the basis of the model, but the proportional hazards assumption over time can make this difficult, therefore, the authors have focused on using...
by Usha Govindarajulu | Nov 6, 2024 | Biostatistics, Blog, Usha Govindarajulu
November 6, 2024 The literature has been lacking in ways to model sufficient follow-up when analyzing survival data with a cure fraction, which means that the right extreme of the censoring time distribution is larger than that of the survival distribution of the...
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 | Oct 9, 2024 | Biostatistics, Epidemiology, Healtcare, Usha Govindarajulu
Statistical issues in survival analysis (Part XVVVVV) October 9, 2024 The authors have discussed some issues in survival analysis in relation to Kaplan-Meier curves. They then came up with alternative ways to design, analyze, and interpret the results of the trials...
by Usha Govindarajulu | Sep 25, 2024 | Biostatistics, Blog, Usha Govindarajulu
September 25, 2024 This article focused how changing living arrangements was associated with suicide risk using survival analysis along with causal inference. The authors admitted that traditional methods like Cox model analysis were not sufficient to handle...
