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 ...

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

Evaluation methods rely on assumptions about how validation data and the data one wants to predict, called test data, are related. Traditional methods assume that validation data and test data are ...

This course will provide you with the requisite scientific knowledge and understanding of analytical method lifecycle management, which includes the activities of validation, verification, transfer, ...