A Bayesian approach to the global estimation of maternal mortality

DOI10.1214/16-AOAS1014zbMath1380.62247arXiv1511.03330OpenAlexW2962794877MaRDI QIDQ1684213

Doris Ma Fat, Leontine Alkema, Daniel Hogan, Lale Say, Alison Gemmill, Doris Chou, Sanqian Zhang, Ann-Beth Moller, Colin Mathers

Publication date: 8 December 2017

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1511.03330

zbMATH Keywords

Bayesian inferenceARIMA time series modelsmaternal mortality ratiomillennium development goal 5multilevel regression modelUN maternal mortality estimation inter-agency group (UN MMEIG)

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Paired and multiple comparisons; multiple testing (62J15)

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