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Statistics at a crossroads Webinar 2 - Shared screen with speaker view
Nicole Bulpett
52:28
could another data reality (limitation) be the external validity..., which I suppose is the sampling biases and missing data. But I wonder with big data, we truly don't have a sampling frame, or do we? Is there a way to apply the big data to a super population to have an adjustment such that the big data is mathematically adjusted to reflect the unknown sampling frame, and thus have (within range of extreme values) an estimate that reflects some external validity.
Andy Burnett
59:20
1 minute
Xuming He
01:00:42
Thanks Cynthia!
Cynthia Rudin
01:01:05
You’re welcome!
Nicole Bulpett
01:11:59
thank you! One other challenge: validity constructs are known to be highly biased by culture. So, the data used may just reemphasize disparities if the data is used to translate service delivery. Lots of "validated" surveys have items for factors that have low face validity for populations representing American Indians, disparate groups of latino background.
Annie Qu
01:19:18
A relevant paper on interpretability of ML: https://arxiv.org/pdf/1806.00069.pdf