Summer Institute in Statistics and Modeling in Infectious Diseases

摘要 为传染病统计和建模夏季研究所寻求资金 (SISMID)在华盛顿大学。这项提案特别要求为学生/ 博士后研究员注册、奖学金、旅费和讲师津贴。这个 自2009年以来，SISMID每年夏季都举行。这项提案要求2014-2018年的资金。 暑期课程提供关于统计方法和动态建模的研讨会 传染病，因果推理，网络推理，进化系统动力学， 元基因组学，以及评估干预措施，特别是疫苗接种。SISMID还提供 关于免疫学和免疫系统建模的介绍性研讨会。参与者为 来自学术界、工业界和政府部门。30名指导员是从 华盛顿大学弗雷德·哈钦森癌症研究中心(FHCRC)，其他学者 美国和其他国家的机构和行业。SISMID由M. 伊丽莎白·哈罗兰，华盛顿大学生物统计学系教授 和FHCRC。 2014年SISMID计划提供以下15个2.5天的模块：1.概率和 统计推理；2.R导论；3.传染病的数学模型；4. 因果推理；5.带推理的随机流行病模型；6.传染病， 宿主模型中的免疫学；7.MCMC I；8.疫苗临床试验的设计和分析； 9.传染病的网络理论；10.传染病的MCMC II；11.随机 动态模拟模型；12.猪瘟的进化动力学和分子流行病学 病毒；13.空间统计；14.元基因组数据分析；15.评估免疫 保护的关联者。 该奖项将支持80名学生/博士后同伴参加。

ABSTRACT Funding is sought for the Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) at the University of Washington. This proposal specifically requests funds for student / postdoctoral fellow participant registration scholarships and travel and instructor stipends. The SISMID has been held each summer since 2009. This proposal requests funds for 2014-2018. The summer program provides workshops on statistical methods and dynamic modeling in infectious diseases, causal inference, inference on networks, evolutionary phylodynamics, metagenomics, and evaluating interventions, particularly vaccination. The SISMID also provides an introductory workshop on immunology and modeling of the immune system. Participants are drawn from academia, industry and government. The 30 instructors are drawn from the University of Washington, Fred Hutchinson Cancer Research Center (FHCRC), other academic institutions in the USA and other countries, and industry. The SISMID is directed by M. Elizabeth Halloran, Professor in the Department of Biostatistics at the University of Washington and FHCRC. The 2014 SISMID proposes to offer the following 15 2.5-day modules: 1. Probability and Statistical Inference; 2. Introduction to R; 3. Mathematical Models of Infectious Diseases; 4. Causal Inference; 5. Stochastic Epidemic Models with Inference; 6. Infectious Diseases, Immunology, Within Host Models; 7. MCMC I ; 8. Design and Analysis of Vaccine Clinical Trials; 9. Network Theory in Infectious Diseases; 10. MCMC II for Infectious Diseases; 11. Stochastic Dynamic Simulation Models; 12. Evolutionary Dynamics and Molecular Epidemiology of Viruses; 13. Spatial Statistics; 14. Metagenomic Data Analysis; 15. Evaluating Immune Correlates of Protection. This award will support 80 student / postdoctoral fellow participants.