Bayesian Model Averaging with Change Points to Assess the Impact of Vaccination and Public Health Interventions.
第一作者:
Esra,Kürüm
第一单位:
From the aDepartment of Statistics, University of California, Riverside, CA; bDepartment of Biostatistics, Yale School of Public Health, New Haven, CT; cSage Analytica, Bethesda, MD; dDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT; eDpto. de Epidemiología, DIPLAS, Ministerio de Salud, Chile; and fDepartment of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC.
作者:
医学主题词
贝叶斯定理(Bayes Theorem);巴西(Brazil);儿童, 学龄前(Child, Preschool);智利(Chile);女(雌)性(Female);住院(Hospitalization);人类(Humans);婴儿(Infant);男(雄)性(Male);肺炎球菌感染(Pneumococcal Infections);肺炎球菌菌苗(Pneumococcal Vaccines);公共卫生(Public Health);肺炎链球菌(Streptococcus pneumoniae);美国(United States);接种(Vaccination);疫苗, 结合(Vaccines, Conjugate)
DOI
10.1097/EDE.0000000000000719
PMID
28767518
发布时间
2018-11-13
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