epiverse-trace / epiverse-trace/cfr

Sampling uncertainty for under ascertainment

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Dominant language
R
Stars
15
Forks
5
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Description

Currently we used a fixed baseline CFR for the [ascertainment calculation](https://epiverse-trace.github.io/cfr/articles/estimate_ascertainment.html), but it would be more accurate to instead sample from an underlying estimate (e.g. using {epiparameter} to extract a normal distribution from published mean/95% CI) so the method propagates both uncertainty in currently observed and previously reported CFR.

Contributor guide

Open the contributing guide

Research direction

Start with the linked ascertainment calculation article and trace where the fixed baseline CFR enters the method. Review how epiparameter could extract a normal distribution from a published mean and 95% CI; done means uncertainty from both currently observed and previously reported CFR is propagated through the ascertainment calculation.

Written by the indexing model from the issue text.

Assessment

Tech stack
r
Domain
data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
30/100

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