VN Types Bayesian Modelling

Bradley, E

(2023). VN Types Bayesian Modelling. [Dataset]. London School of Hygiene & Tropical Medicine, London, United Kingdom. 10.17037/DATA.00001611.

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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". Code is written in R. The JAGS application (http://www.sourceforge.net/projects/mcmc-jags/files) must be installed to run the "rjags" and "R2jags" packages.

Additional Information

Files are stored by the LSHTM data repository for preservation only. Distribution is handled through the Github and Software Heritage Archive platforms.

Keywords

vulnerable newborn

Item Type	Dataset
Resource Type	Resource Type Resource Description Software R script
Capture method	Other
Date	12 October 2023
Language(s) of written materials	English
Creator(s)	Bradley, E
LSHTM Faculty/Department	Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & International Health (2023-)
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom
Funders	Project Funder Grant Number Funder URI Vulnerable Newborns: multi-country analyses to advance measurement related to preterm births and small-for-gestational age Children's Investment Fund Foundation 1803-02535 https://doi.org/10.13039/100010409
Date Deposited	25 Feb 2020 14:23
Last Modified	04 Dec 2024 18:33
Publisher	London School of Hygiene & Tropical Medicine