A Bayesian approach to estimate maternal mortality globally using national civil registration vital statistics data accounting for reporting errors-Reference-Cited by-同舟云学术

A Bayesian approach to estimate maternal mortality globally using national civil registration vital statistics data accounting for reporting errors

Published:2024-01-26 Issue: Volume: Page:1-28
ISSN:2330-443X
Container-title:Statistics and Public Policy
language:en
Short-container-title:Statistics and Public Policy

Author:

Peterson Emily N.¹,Guranich Greg²,Creswell Jenny A.²,Alkema Leontine³

Affiliation:

1. Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta GA USA

2. UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, Geneva, Switzerland

3. Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, USA

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Public Administration,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/2330443X.2023.2286313

Reference23 articles.

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5. Gelman A. (2006). Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper). Bayesian Analysis 1(3):515–534.