Calculating the sample size required for developing a clinical prediction model

Re:Calculating the sample size required for developing a cli... by andersource on Monday September 07, 2020 @11:36AM (#24400106)

The link is not to the paper itself but to a response to the paper, this might be (is probably?) intentional but the title is a bit confusing.

Essentially the response, submitted by several ML / CS / math researchers, addresses a note in the paper which recommends against train/test split in model training, calling it "inefficient". The response is dedicated to explaining what generalization error is and why estimating it is important, and how that's basically impossible without any sort of train/test split or cross-validation.

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Re:Calculating the sample size required for developing a cli... by mumblemumble on Monday September 07, 2020 @11:39AM (#24400127)

The article is there, if you click on the "Article" tab.

Perhaps if any staff are paying attention on the holiday, we could get the "/rr" chopped off the end of the link, so that we get to the main article instead?

[ Parent | on HN ]

Re:Calculating the sample size required for developing a cli... by andersource on Monday September 07, 2020 @11:40AM (#24400138)

My guess is that OP intended to submit the response, I was really surprised to see the note in the article and found the response interesting (even the fact of its existence). But that's just my take :)

[ Parent | on HN ]

Re:Calculating the sample size required for developing a cli... by mumblemumble on Monday September 07, 2020 @01:35PM (#24401025)

I suppose, but then you'd expect a different title on the HN submission, since the response has barely anything to do with sample sizes.

[ Parent | on HN ]