Page 258 - Special Topic Session (STS) - Volume 2
P. 258
STS489 Danielle J.R. et al.
5. Ngnie-Teta, I., Receveur, O., and Kuate-Defo, B. (2007). Risk factors for
moderate to severe anemia among children. Food Nutr Bull, 28(1):76–89.
6. Rue, H., Martino, S., and Chopin, N. (2009). Approximate Bayesian
inference for latent Gaussian models using integrated nested Laplace
approximations (with discussion). J Royal Stat Soc, 71(2):319– 392.
7. Umlauf, N., Adler, D., Kneib, T., Lang, S., and Zeileis, A. (2015). Structured
additive regression models: An R interface to BayesX. J Stat Softw,
63(21):1–46
8. WHO (2011). The global prevalence of anaemia in 2011. Geneva: World
Health Organization. WHO (2014). Global nutrition targets 2025:
Anaemia policy brief.
https://apps.who.int/iris/bitstream/handle/10665/148556/WHO_NMH_N
HD_14.4_eng.pdf;jsessionid=DC95FE26B76B825FA3407D855D3CBDC9?s
equence=1 [Online; accessed November 2018].
9. WHO and UNICEF (2004). Focusing on anaemia.
http://www.who.int/nutrition/publications/micronutrients/WHOandUNIC
EF_statement_anaemia/en [Online; accessed November 2018].
10. Zuur, A., Ieno, E., Walker, N., Saveliev, A., and Smith, G. (2009). Mixed
Effects Models and Extensions in Ecology with R. Springer Science, New
York, USA.
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