Summer Institute in Statistics and Modeling in Infectious Diseases

摘要 为传染病统计和建模暑期研究所寻求资金 （SISMID）在华盛顿大学。该提案特别要求为学生/ 博士后研究员参加者登记奖学金和旅费及教员津贴。的 SISMID自2009年以来每年夏季举办。该提案要求为2014-2018年提供资金。 夏季计划提供统计方法和动态建模研讨会， 传染病，因果推理，网络推理，进化动力学， 宏基因组学和评估干预措施，特别是疫苗接种。SISMID还提供 免疫学和免疫系统建模的介绍性研讨会。参与者 来自学术界、工业界和政府。三十名导师来自 华盛顿大学弗雷德哈钦森癌症研究中心（FHCRC），其他学术 美国和其他国家的机构以及行业。SISMID由M指导。 Elizabeth Halloran，华盛顿大学生物统计学系教授 和FHCRC。 2014年SISMID建议提供以下15个2.5天的模块：1。概率和 统计推断; 2. R入门; 3.传染病的数学模型; 4。 因果推理; 5.具有推论的随机传染病模型; 6.传染病， 免疫学，宿主模型内; 7. MCMC I ; 8.疫苗临床试验的设计与分析 9.传染病网络理论; 10. MCMC II传染病; 11.随机 动态模拟模型; 12.进化动力学与分子流行病学 13.第十三章14.第十四章15.第一次的约会免疫评估 保护的相关性。 该奖项将支持80名学生/博士后研究员参与。

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.