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 ...

Many techniques exist for deriving predictive modeling functions and we will not provide a thorough review here. For in-depth overviews, there are many books on this topic, for example, Kuhn and ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...