Statistical issues in survival analysis (Part XVVVVVV)
December 18, 2024 Marginal structural models (MSMs) are often used in settings for longitudinal studies with time-varying treatment or covariates observed for each individual at several time points when trying to estimate the causal effects in a way that accounts for...
Statistical issues in survival analysis (Part XVVVVVIV)
December 4, 2024 In restricted mean survival time (RMST) analyses, tau is set at some fixed point or as stated as this paper, treated as a nonrandom, prespecified quantity, sometimes derived from the observed data (Tian, 2020). They developed tau-inflated beta...
Statistical issues in survival analysis (Part XVVVVVIII)
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...
Statistical issues in survival analysis (Part XVVVVVII)
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...
Statistical issues in survival analysis (Part XVVVVVI)
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...
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...
Statistical issues in survival analysis (Part XVVVVIV)
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...
Statistical issues in survival analysis (Part XVVVVIII)
September 11, 2024 This article focused on joint modeling in the presence of informative censoring in a retrospective analysis in palliative care research. There has been a lack of statistical models to handle longitudinal quality of life (QOL) data and...
Statistical issues in survival analysis (Part XVVVVI)
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...
Statistical issues in survival analysis (Part XVVVV)
July 31, 2024 The authors discussed applications of artificial intelligence (AI)/machine learning algorithms in survival analysis to skin cancer research publications. They reported on 16 such publications. Supervised machine learning (ML) would have used existing...