Statistical issues in general (mixed effects LR)
October 8, 2025 Mixed effects logistic regression models require individual level data. Sometimes data needs to be on the population level and it can be aggregated into counts, for example, but this could also lead to loss of other information. Federated learning...
Statistical issues in survival analysis (flex AFT with cure)
September 22, 2025 The authors have presented a new method to allow accelerated failure time models (AFTs) to have a flexible parametric framework and to also allow implementing mixture and non-mixture cure models. The authors aimed to introduce extensions to the...
Statistical issues in general (partially linear models)
September 10, 2025 The authors developed a general estimation method for inference in partially linear models with nonmonotone missing at random data. The unified estimation method was already developed for parametric regression models with nonmonotone MAR data where...
Statistical issues in survival analysis (bootstrap box-cox CIs)
August 27, 2025 The authors are motivated by small sample laboratory or animal studies with non-Gaussian biomarker values and came up with a bootstrap box-cox likelihood ratio confidence interval for the median. Normally due to non-normality of data, one might...
Statistical issues in survival analysis (SACE)
August 13, 2025 The authors looked at a method called survival average causal effect (SACE) for dealing with situations when continuous outcome measurements are truncated by death and cause problems for estimating unbiased treatment effects in randomized controlled...
Statistical issues in survival analysis (predictive smoothed likelihood)
July 30, 2025 The authors present a new method for predictive performance assessment that works for non-parametric and semi-parametric models and can check with addition of a frailty term and also for smoothing. The predictive log-likelihood idea does not work well...
Statistical issues in survival analysis (hazards are key)
July 16, 2025 The authors discuss how to correctly interpret causal hazard contrasts and how the analyses of hazards should routinely be translated onto probabilities. As they mentioned in their discussion, hazards are the backbone of analyses of time-to-event data...
Statistical issues in survival analysis (longitudinal mediation)
July 2, 2025 The importance of evaluating a longitudinal biomarker in survival analysis for overall or disease-free survival can be important. The authors have defined a new joint model for a longitudinal biomarker and a time-to-event endpoint, taking into account...
Statistical issues in survival analysis (dynamic survival)
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...
Statistical issues in general (rm correlation coef)
June 4, 2025 The authors discussed a weighted repeated measures correlation coefficient which could work even in the presence of missing data. The Pearson correlation coefficient cannot be used in these data due to violations of independent data. Also, some measures...