GitHub - ellenBradley18/VNTypesBayesianModelling: Input data and code for the paper Small babies, big risks: global estimates of prevalence and mortality for vulnerable newborns to accelerate change and improve counting (https://doi.org/10.1016/S0140-6736(23)00522-6). This code is saved on the paper's data compass page (link below).

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
functions		functions
inputs		inputs
models		models
output		output
.gitignore		.gitignore
0.fileNames.R		0.fileNames.R
0.loadPackages.R		0.loadPackages.R
0.masterV.R		0.masterV.R
1.addingNMR2.R		1.addingNMR2.R
1.addingPretermpostCC.R		1.addingPretermpostCC.R
1.data3.R		1.data3.R
1.studiesMeta2WPP.R		1.studiesMeta2WPP.R
3. fitModelsV_vn_timeNormalCregions2.R		3. fitModelsV_vn_timeNormalCregions2.R
4.predictionV2E2_4types2regions2.R		4.predictionV2E2_4types2regions2.R
5. Plot countries V (1 model) vn_timeNormalCregions2.R		5. Plot countries V (1 model) vn_timeNormalCregions2.R
INSTRUCTIONS.txt		INSTRUCTIONS.txt
VNTypesBayesianModelling.Rproj		VNTypesBayesianModelling.Rproj

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Input data and code for the paper Small babies, big risks: global estimates of prevalence and mortality for vulnerable newborns to accelerate change and improve counting (https://doi.org/10.1016/S0140-6736(23)00522-6). This code is saved on the paper's data compass page (link below).

researchonline.lshtm.ac.uk/id/eprint/4669652/

estimates global lancet vulnerable-newborns