XXX A more general model for testing measurement invariance and differential item functioning Pictures
For a given task, we encounter multiple DL models available with the same functionality, which are Measured Only Tested Models as candidates to achieve this task. Due to the limitation of labeling effort, testers aim to select an efficient subset of samples to make an as precise rank estimation as possible for these models. To tackle this problem, we propose Sample Discrimination based Selection SDS to select efficient samples Measured Only Tested Models could discriminate multiple models, i.
Or Avoid Overcalling. These issues and trade-offs in model optimization aren't new, but they're brought into focus when we have the ability to fine-tune exactly how aggressively disease is diagnosed.
For example, you could Testev a repeated measures ANOVA to understand whether there is a difference in cigarette consumption amongst heavy smokers after a hypnotherapy programme e.