sdflack

u/sdflack



r/AskStatistics•

All other things being equal …

If I take two antigen tests, both with an individual specificity of 75.3% (95% confidence interval from 65.8% to 83.4%) e.g. from https://pubmed.ncbi.nlm.nih.gov/33455451/

A. what is the sensitivity of the two tests together?

Taking the equation off of https://radiopaedia.org/articles/sensitivity-and-specificity-of-multiple-tests Combined sensitivity: (A)sen + [1 - (A)sen] x (B)sen

That would be 93.9%.

B. But what would I do with the confidence interval? Is it the same calculation?

That would give me 88.3 to 97.2%… Is that the way to do it?

C. So, if I test negative both times, would it be right to say that I am 95% confident that the r

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r/instantpot•

What does the "Yogurt>Adjust/More" (aka "boil") function really do? Is it based on a timer? a temperature probe? a measure of pressure?

I know the manual says:

“More” for pasteurizing milk: 7183°C (160180°F).

and:

If you use the inner pot to make yogurt, press “Yogurt” then “Adjust” to “More” mode with the word “boil” on the display. Instant Pot® will then boil the milk to 180° F/83° C. When it’s done, it beeps and displays “yogt”.

but that doesn't answer my question. Curious if anyone has learned the answer.

Thanks

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r/AskStatistics•

Background:

  • Input, a collection of sets. e.g: [a,b], [a,c], [a,b], [c], [c,d]
  • Compute a jaccardian distance matrix so that you now have a Jaccardian similarity measure for any two elements.

What I am looking for:

  • For any given set (e.g., [a,b,c]), produce a similarity score so that I can say that [a,b,c] is a "better" set than [a,b].

I'm new to this and am having trouble understanding how to calculate that score.

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