Epidemiological and Statistical Methods Core (ESC)

流行病学和统计方法核心（ESC）

• 批准号: 10065448
• 负责人: KUNJAL PATEL
• 金额: $ 44.01万
• 依托单位: HARVARD SCHOOL OF PUBLIC HEALTH
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-18 至 2025-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10065448
• 关键词: Address; Adolescent; Adult; Advanced Development; Bioinformatics; Birth; Brain region; Child; Childhood; Clinic; Clinical; Cognitive; Collaborations; Complex; Continuing Education; Data; Data Analyses; Databases; Development; Disease remission; E-learning; Education; Effectiveness; Environment; Epidemiologic Methods; Epidemiologist; Epidemiology; Epigenetic Process; Evaluation; Evaluation Studies; Faculty; Formulation; Fostering; Genes; Genetic; Genomics; Goals; Graph; Gynecologist; HIV; Health; Hearing; Image; Immunologist; Individual; Informatics; Intervention; Language; Longevity; Measurement; Mediation; Mediator of activation protein; Mental Health; Mentorship; Methodology; Methods; Mind; Modification; Monitor; Mothers; Nature; Neurologist; Observational Study; Oral health; Outcome; Outcome Study; Pediatric HIV/AIDS Cohort Study; Pediatric epidemiology; Perinatal Epidemiology; Persons; Population Study; Pregnancy; Pregnancy Interval; Probability; Program Research Project Grants; Protocols documentation; Research; Research Design; Research Personnel; Research Project Grants; Resources; Risk; Safety; Sampling; Scheme; Series; Site; Source; Specialist; Specific qualifier value; Statistical Methods; Time; Toxic effect; Training; Weight; Youth; analytical method; analytical tool; behavioral outcome; career; case control; cohort; data resource; deep learning algorithm; design; emotion regulation; emotional behavior; high dimensionality; in utero; informatics tool; innovation; interest; longitudinal design; microbiome; multidisciplinary; multilevel analysis; neuroimaging; novel; pediatric human immunodeficiency virus; pediatrician; perinatal HIV; population based; prevent; programs; prospective; social; social genomics; statistical service; tool; transmission process; young adult

PROJECT SUMMARY The Pediatric HIV/AIDS Cohort Study (PHACS) is a large-scale multi-site network with multiple observational studies aimed to evaluate the long-term effectiveness and safety of population-based interventions to prevent perinatal HIV transmission and HIV progression and inform HIV remission/cure strategies. The PHACS Research Projects have generated and will continue to gather data on health determinants from various sources and via diverse methods including clinical, social, genomic, microbiome, and imaging data. A multitude of concept sheets and sub-studies will therefore be proposed requiring specialized epidemiological and statistical expertise, ranging from efficient study design, causal inference methodology, deep learning algorithms, bioinformatics, and integrative microbiome informatics, to inform data analyses that will be conducted by the PHACS Data Resources Core (DRC). As we continue to add to our extensive PHACS database, new and challenging problems are likely to arise that may necessitate the development of innovative study designs and analytic methods, particularly in the fields of pediatric and perinatal epidemiology. Ongoing training will be required on these and other methodological innovations for PHACS epidemiologists and statisticians. Continuing education on fundamental epidemiological and statistical principles will also be required for all PHACS investigators in order to conduct effective collaborative research. To address these needs and promote valid and efficient pediatric and perinatal HIV research within the Research Projects and any focused Emerging Research Pilots, the PHACS Epidemiological and Statistical Methods Core (ESC) has been established to: (1) provide specialized epidemiological and statistical services, support, and resources; (2) promote the development and application of novel epidemiological and statistical methods; and (3) support continuing education in epidemiological and statistical methods through in-person or web-based training and mentorship of early career investigators.

项目摘要 小儿艾滋病毒/艾滋病队列研究（PHACS）是一个大规模的多站点网络 旨在评估基于人群干预措施的长期有效性和安全性的研究以防止 围产期HIV传播和HIV进展，并为HIV缓解/治愈策略提供信息。 PHAC 研究项目已经产生，并将继续收集有关各种健康决定因素的数据 来源和通过不同的方法，包括临床，社会，基因组，微生物组和成像数据。众多 因此，将提出概念表和子培训，要求专业流行病学和 统计专业知识，从高效的研究设计，因果推理方法，深度学习 算法，生物信息学和综合微生物组信息学，以告知数据分析 由PHACS数据资源核心（DRC）进行。随着我们继续增加广泛的phacs 数据库，新的和具有挑战性的问题可能会出现可能需要创新的发展 研究设计和分析方法，特别是在小儿和围产期流行病学领域。正在进行 对PHACS流行病学家和其他方法论创新需要进行培训 统计学家。关于基本流行病学和统计原则的继续教育也将是 所有PHAC调查人员都需要进行有效的协作研究。 解决这些需求，并促进有效，高效的小儿和围产期艾滋病毒研究 研究项目以及任何重点的新兴研究飞行员，PHACS流行病学和统计 方法核心（ESC）已确定为：（1）提供专业的流行病学和统计服务， 支持和资源； （2）促进新型流行病学和统计的发展和应用 方法; （3）通过面对面或 基于网络的早期职业研究人员的培训和指导。