counterfactual excess covid deaths notebook #391
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View / edit / reply to this conversation on ReviewNB twiecki commented on 2022-07-06T11:15:08Z where we can ask twiecki commented on 2022-07-06T11:27:36Z Technically I think it's called COVID-19, but I also saw Covid-19 used in many newspapers so it's probably fine. drbenvincent commented on 2022-07-06T15:56:17Z Thanks. Will update to correct convention |
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Technically I think it's called COVID-19, but I also saw Covid-19 used in many newspapers so it's probably fine. View entire conversation on ReviewNB |
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Thanks. Will update to correct convention View entire conversation on ReviewNB |
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View / edit / reply to this conversation on ReviewNB michaelosthege commented on 2022-07-07T13:54:38Z Not sure if I understand the trick correctly, but could you use the |
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View / edit / reply to this conversation on ReviewNB michaelosthege commented on 2022-07-07T13:54:38Z Isn't the |
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View / edit / reply to this conversation on ReviewNB michaelosthege commented on 2022-07-07T13:54:39Z Line #6. ax.set(title="Posterior predictive distribution since COVID-19 onset in the UK") Maybe rephrase to clarify that this is a counterfactual? "Posterior predictive forecast of deaths if COVID-19 had not appeared" |
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Very nice notebook! |
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Thanks @michaelosthege! I'll address these shortly. |
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I'm going to temporarily close this PR because we want to time this for after some other promotional activity. |
So this PR replaces #387 but without the extra unintended changes.
Basically, a new notebook (with accompanying data) on counterfactual inference using excess deaths as the topic.