Statistical issues in survival analysis (Lindley frailty model)
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...
Statistical issues in survival analysis (Wavelet survival models)
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...
Statistical issues in survival analysis (Meta-analysis & RMSE)
February 26, 2025 The authors have used network meta-analysis (NMA) to compare multiple treatments simultaneously using restricted mean survival time (RMST) with individual level data (IPD). Since the NMA was mainly used with aggregate data, they had to extend this...
Statistical issues in survival analysis (Causal mediation additive hazards)
February 12, 2025 The authors focused on causal mediation analysis in survival analysis, more specifically with additive hazards modeling with an exposure by mediator interaction term. The causal mediation framework had come about over time from the mediation area and...
Statistical issues in general (informative clusters)
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...
Statistical issues in survival analysis (Part XVVVVVVII)
January 15, 2025 In this paper the authors proposed prognostic accuracy measures for recurrent event data. They did so by developing semiparametric estimators for making inferences about the prognostic accuracy measures that accommodate recurrent events. Usually a...
Statistical issues in survival analysis (Part XVVVVVVI)
January 1, 2024 The authors were interested in the average treatment effect (ATE) which reflects how the treatment affects the potential outcome. In order to estimate ATE, propensity scores have been adapted for their estimation. such as the inverse probability...
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...