Fiducial inference is a framework for assigning a probability distribution to an unknown parameter on the basis of observed data and a statistical model alone, without invoking a prior distribution.

Real-world data (RWD) derived from electronic health records (EHRs) are often used to understand population-level relationships between patient characteristics and cancer outcomes. Machine learning ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...