Bayesian Point Process Modeling to Quantify Geographic Regions of Excess Stillbirth Risk
Author:
Affiliation:
1. Department of Health Sciences Research Mayo Clinic Rochester USA
2. Department of Biostatistics The University of Iowa Iowa City USA
3. Department of Epidemiology The University of Iowa Iowa City USA
Funder
Iowa Stillbirth Surveillance Project
Iowa CBDRP: Birth Defects Study To Evaluate Pregnancy Exposures
University of Iowa
Publisher
Wiley
Subject
Earth-Surface Processes,Geography, Planning and Development
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/gean.12174
Reference21 articles.
1. Approximating Point Process Likelihoods with GLIM
2. Bayesian image restoration, with two applications in spatial statistics
3. Air Pollution and Stillbirth Risk: Exposure to Airborne Particulate Matter during Pregnancy Is Associated with Fetal Death
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Spatial dynamics of fetal mortality and the relationship with social vulnerability;Journal of Perinatal Medicine;2021-12-10
2. Quantifying geographic regions of excess stillbirth risk in the presence of spatial and spatio-temporal heterogeneity;Spatial and Spatio-temporal Epidemiology;2019-06
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