Tree-based machine learning methods have gained traction in the statistical and data
science fields. They have been shown to provide better solutions to various research …

Survival data with time-varying covariates are common in practice. If relevant, they can
improve on the estimation of a survival function. However, the traditional survival forests …

The clinical microbiology laboratory generates a huge amount of high-quality data that play
a vital role in clinical care. With proper extraction, cleaning, analysis, and validation …

The intermittent intake of treatment is commonly seen in patients with chronic disease. For
example, patients with atrial fibrillation may need to discontinue the oral anticoagulants …

A new tool, riAFT-BART, was recently developed to draw causal inferences about population
treatment effect on patient survival from clustered and censored survival data while …

Background The time until an event happens is the outcome variable of interest in the
statistical data analysis method known as survival analysis. Some researchers have created …

Matching on the generalized propensity score (GPS) is an effective and widely used
approach for estimation of the pairwise treatment effects in observational studies that involve …