Comments (6)
Would also be useful to add an example with a linelist, converting it to a timeseries using incidence2
. See also issue #7
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Perhaps clearer terminology for expanding window vs time-varying CFR (e.g. in x-axes) would be 'CFR on day X' vs 'CFR up to day X'
from cfr.
Just checking whether this issue is still relevant, and if so how it might relate to the current contents of the vignettes? If I could get some pointers I can go ahead and make changes.
from cfr.
The case study document @CarmenTamayo is working on should cover a lot of this - can then decide where content sits best among vignette/training/blog (as it also touches on wider issues about what 'ground truth' should be when evaluating different methods).
Think we've already added clarification to users about small vs big outbreaks for the static and time varying methods?
from cfr.
Thanks - happy to integrate that as it comes up. I think we do have some documentation in the vignettes for small vs big outbreaks and the different methods. I think @avallecam is also going to take a look, so perhaps more focused issues would be better than adding a full vignette?
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Closing this as stale - seems focus for this has moved to case studies repo, happy to help there.
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Related Issues (20)
- Add message to cfr_rolling()
- CFR stands for Risk or Ratio? HOT 4
- replace `cases` by `confirm` for API consistency HOT 7
- Mid-year cleanup HOT 3
- Fix maths rendering in vignettes HOT 2
- Correct `estimate_outcomes()` explanation HOT 1
- Pre-release v0.1.1 HOT 1
- Rename output columns `*_mean`
- Release cfr 0.1.1
- Change README example to show clearer real-time bias
- Difference in the time series of the delay-adjusted rolling Ebola results HOT 2
- Statistically consistent way to handle E(known outcomes) < deaths
- Check Turkey underascertainment estimate HOT 1
- Accounting for different delays to death and recovery
- Including uncertainty in baseline CFR for underascertainment estimation
- Release cfr 0.2.0 HOT 1
- Release cfr 0.1.2
- update reference to `epidist` with `epiparameter`
- Sampling uncertainty for under ascertainment
- Include age structure
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