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SLE 2016-20 #440

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eclee25 opened this issue May 15, 2023 · 14 comments
Open

SLE 2016-20 #440

eclee25 opened this issue May 15, 2023 · 14 comments

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@eclee25
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eclee25 commented May 15, 2023

No description provided.

@QLLZ
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QLLZ commented Jun 6, 2023

Data pull:
HASH: 6772ea9da4f43ddc3da11c494a573af2ca3dd3c8
config

@QLLZ
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QLLZ commented Jun 7, 2023

log file

@QLLZ
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QLLZ commented Jun 8, 2023

rerun from data pull:
data pull on dev: HASH c9a89d4ac5e4f63cb75fa5c006a900ece2839199

@QLLZ
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QLLZ commented Jun 9, 2023

Model run:
HASH 6772ea9da4f43ddc3da11c494a573af2ca3dd3c8

@QLLZ
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QLLZ commented Jun 9, 2023

country data report

@javierps
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Low number of cases, not so nice w pattern, but validity and convergence ok.

Suggestion: accept.

@javierps
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May also consider a no-w run.

@eclee25
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eclee25 commented Jun 15, 2023

All relatively good considering low cases counts in all years.
Opinion: Temporary Accept and rerun with spatial_effect: no

@QLLZ
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QLLZ commented Jul 24, 2023

Config

Data pull & Model run:

HASH: 211913e

@QLLZ
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QLLZ commented Jul 25, 2023

country data report

@QLLZ
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QLLZ commented Jul 27, 2023

Modeled cases look good. Convergency looks good. Population are underestimated consistenly.

Suggestion: accept if population is acceptable.

Another question is that: this is not a w run while the previous comment said to run without spatial effect.

@eclee25
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eclee25 commented Aug 4, 2023

All diags look good. Use of standard run is ok.
Approve

@javierps
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Convergence issue for std_w, rhats issues.

Suggestion: re-run with no-mixture.

@eclee25
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eclee25 commented Sep 25, 2023

No-mixture sd_w run looks good. Approve

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@javierps @eclee25 @QLLZ