Biostatistics, Epidemiology, and Research Design Core

生物统计学、流行病学和研究设计核心

• 批准号: 9979932
• 负责人: Julie A Stoner
• 金额: $ 65.99万
• 依托单位: UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9979932
• 关键词: Address; Adoption; American Indians; Applications Grants; Area; Basic Science; Biometry; Biostatistical Methods; Clinical; Clinical Research; Clinical Sciences; Communities; Computerized Medical Record; Consult; Consultations; Data; Data Collection; Data Reporting; Data Set; Data Sources; Databases; Degree program; Development; Diagnostic Procedure; Discipline; Disease; Educational workshop; Effectiveness; Ensure; Epidemiologic Methods; Epidemiologic Research Design; Epidemiology; Extramural Activities; Faculty; Funding; Grant; Health; Health Professional; Health system; Infrastructure; Institution; Laboratory Research; Master of Science; Measurement; Medical; Methodology; Methods; Mission; Oklahoma; Patients; Peer Review; Personal Satisfaction; Population; Population Surveillance; Prevention strategy; Process; Productivity; Publications; Qualitative Research; Quality Control; Randomized Controlled Clinical Trials; Recommendation; Registries; Reporting; Reproducibility; Research; Research Design; Research Infrastructure; Research Methodology; Research Personnel; Research Project Grants; Research Support; Resources; Risk Factors; Sample Size; Science; Secure; Source; Statistical Methods; Students; Surveys; System; Therapeutic Intervention; Training; Translational Research; Tribes; Work; analytical method; base; clinical care; clinical data warehouse; cohort; community based participatory research; data quality; data warehouse; design; epidemiology study; health assessment; health organization; implementation research; improved; innovation; instrument; intervention program; lectures; member; novel; novel strategies; population health; preclinical study; programs; research study; secondary analysis; skills; success; surveillance data; translational study; treatment strategy

Effective clinical and translational research requires rigorous study designs, appropriate application of analytic methods, and careful reporting. The Biostatistics, Epidemiology, and Research Design (BERD) has been instrumental in expanding clinical and translational research of new investigators, community partners, and programs of the OSCTR, supporting over 470 research projects, resulting in 72 peer-reviewed publications and 112 grant applications (78 extramural and 34 intramural applications). The BERD has enhanced research methods training (130 seminars/lectures, supporting 25 MS in Clinical and Translational Science thesis projects), expanded the use of novel analytic methods and research designs (31 publications, 48 seminars, five workshops, and two grant-funded projects), and expanded research infrastructure through the deployment of a survey calling center and enhanced REDCap infrastructure, growing use from 6 projects/year to 207 projects in 2016. The revised mission of the BERD Core is to enable OSCTR investigators and partner institutions to design, perform, and report rigorous, reproducible, and innovative studies that can be applied to improve clinical care and patient well-being in Oklahoma and other IDeA states. To do this, the BERD Core provides consultative expertise in biostatistics, epidemiology, and qualitative research methods (Aim 1); coordinates a new, unique and robust data repository infrastructure and analytic skill set for clinical epidemiologic studies (Aim 2); and develops and applies novel research designs and analytic methods focused on the needs of OSCTR research (Aim 3). BERD Core members collaborate with investigators to address sources of bias, identify sufficient sample sizes, select measurement instruments, perform data quality control, manage and analyze data, and report study results. The BERD Core works with the Professional Development Core to develop workshops on research methods, and with the Administrative Core to produce training videos, templates, and fact sheets for the portal. A new BERD initiative with this renewal, the Clinical Data Warehouse, leverages a unique resource developed at OUHSC to make de-identified electronic medical records available for research to enhance the capacity for clinical epidemiologic and population health research in Oklahoma. The BERD Core helps investigators identify appropriate data sources and variables to address their research questions, then uses the Clinical Data Warehouse validated process to generate a project dataset. Finally, to advance biostatistics and epidemiologic methods, the BERD Core holds monthly seminars to disseminate novel research designs, analysis methods, and research findings. The BERD Core performs methodological research to adapt existing methods or develop new approaches to address research questions, for example, developing new statistical methods to reduce bias and increase estimation efficiency in small populations, such as American Indian tribes. Together, these activities of the BERD Core enable OSCTR investigators to perform rigorous, reproducible, and innovative research to better understand and address health needs in Oklahoma.

有效的临床和转化研究需要严格的研究设计，适当应用分析方法， 方法和仔细的报告。生物统计学，流行病学和研究设计（BERD） 有助于扩大新研究者、社区合作伙伴的临床和转化研究， OSCTR的计划，支持470多个研究项目，产生了72篇同行评审的出版物， 112份赠款申请（78份校外申请和34份校内申请）。BERD加强了研究 方法培训（130个研讨会/讲座，支持25个临床和转化科学硕士论文 项目），扩大使用新的分析方法和研究设计（31份出版物，48次研讨会， 五个讲习班和两个赠款资助的项目），并通过部署 调查呼叫中心和增强的REDCap基础设施，使用率从每年6个项目增加到207个项目 2016年的项目。BERD核心的修订使命是使OSCTR调查人员和合作伙伴 机构设计，执行和报告严格的，可重复的和创新的研究，可应用于 改善俄克拉荷马州和其他IDEA州的临床护理和患者福祉。为此，BERD Core 提供生物统计学、流行病学和定性研究方法方面的咨询专业知识（目标1）; 协调一个新的，独特的和强大的数据存储库基础设施和分析技能集， 流行病学研究（目标2）;并开发和应用新的研究设计和分析方法，重点 OSCTR研究的需求（目标3）。BERD核心成员与调查人员合作， 偏差来源，确定足够的样本量，选择测量仪器，进行数据质量控制， 管理和分析数据，并报告研究结果。BERD核心与专业发展 核心小组举办研究方法讲习班，并与行政核心小组一起制作培训录像， 模板和门户网站的情况说明书。一个新的BERD倡议与此更新，临床数据仓库， 利用OUHSC开发的独特资源，提供去识别化的电子病历 研究，以提高俄克拉荷马州的临床流行病学和人口健康研究的能力。 BERD核心帮助研究人员确定适当的数据源和变量，以解决他们的研究 问题，然后使用临床数据仓库验证过程生成项目数据集。最后为 先进的生物统计学和流行病学方法，BERD核心每月举行研讨会，传播 新颖的研究设计、分析方法和研究结果。BERD核心执行方法论 研究，以适应现有的方法或开发新的方法来解决研究问题，例如， 开发新的统计方法，以减少偏差，提高小群体的估计效率， 美国印第安部落。总之，BERD核心的这些活动使OSCTR调查人员能够执行 严谨，可重复和创新的研究，以更好地了解和解决俄克拉荷马州的健康需求。