Biostatistics & Data Science Core

生物统计学

• 批准号: 10450695
• 负责人: Mary E. Putt
• 金额: $ 13.31万
• 依托单位: CHILDREN'S HOSP OF PHILADELPHIA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-15 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10450695
• 关键词: Address; Area; Basic Science; Big Data; Big Data Methods; Bioinformatics; Biomedical Research; Biometry; Biostatistics Core; Brain Diseases; Classification; Clinical; Clinical Data; Clinical Medicine; Clinical Trials; Code; Collaborations; Communication; Complement; DNA Sequence Alteration; Data; Data Science; Data Science Core; Data Set; Development; Doctor of Philosophy; Documentation; Education; Educational workshop; Electronic Health Record; Eligibility Determination; Epidemiology; Experimental Designs; Faculty; Gene Expression; Generations; Genetic; Genomics; Human; Informatics; Institutes; Intellectual and Developmental Disabilities Research Centers; Intellectual functioning disability; Knowledge; Leadership; Machine Learning; Mentors; Methodology; Mission; Modeling; Modification; Names; Natural Language Processing; Observational Study; Ontology; Pathology; Patients; Pattern; Pediatric Hospitals; Pediatrics; Pennsylvania; Philadelphia; Process; Public Health Informatics; Recording of previous events; Reproducibility; Research; Research Design; Research Personnel; Research Project Grants; Resource Informatics; Sample Size; Services; Source; Statistical Data Interpretation; Statistical Methods; Techniques; Time; Training; Universities; Variant; Visualization; analytical tool; base; behavioral phenotyping; biomedical informatics; career development; clinical phenotype; clinical translation; community center; computerized tools; data integration; deep neural network; design; disease phenotype; experience; experimental study; frontier; genetic analysis; genomic data; interest; machine learning method; member; mid-career faculty; multidimensional data; novel; online repository; operation; predictive modeling; professor; programs; recruit; teacher; translational medicine; translational study; unstructured data

(CORE C- BDSC: BIOSTATISTICS & DATA SCIENCE CORE) PROJECT SUMMARY Description: The Biostatistics & Data Science Core (BDSC) provides comprehensive and expert analytic tools for IDDRC users desiring support in quantitative experimental design, biostatistics, and informatics techniques with particular emphasis on machine learning. The Core has substantive expertise in areas represented by two sub-cores (1) Biostatistics, with faculty from the Department of Biostatistics, Epidemiology & Informatics at the University of Pennsylvania (PENN) supporting experimental design of basic science, clinical trials and observational studies and the analysis of the ensuing data (2) Informatics and machine learning, with faculty from the Department of Biomedical Health Informatics at Children’s Hospital of Philadelphia (CHOP), providing support for high-level data integration of ‘omics’ data along with interpretation, classification and predictive modelling. A third sub-core will support Career Development and Education. Core members are committed mentors and teachers. Dr. Mary Putt, Professor of Biostatistics and former Associate Vice-Chair of the Graduate Group in Epidemiology & Biostatistics and Program Chair of the Biostatistics graduate program, is the overall Core Director and Director of the Biostatistics Sub-Core. Dr. Kai Wang, Associate Professor of Biomedical Health Informatics at CHOP and Pathology (PENN) and, and Senior Fellow of the Institute for Biomedical Informatics, is Associate Director of the Informatics & Machine Learning Sub-Core. Dr. Rui Xiao, Associate Professor of Biostatistics, and Pediatrics, is Associate Director of the Career Development & Education Sub- Core Relevance to IDDRC Mission: The BDSC supports the overall themes of our IDDRC, specifically (1) impactful research into the cause and treatment of conditions related to intellectual and developmental disability (IDD) and (2) career development and education of a new generation of IDD researchers. The BDSC evolved out of the previous Biostatistics & Bioinformatics core; it interacts with and/or complements the activities of the other IDDRC Cores as well as the Research Project. The Biostatistics faculty (Drs. Putt and Xiao) from this well-established core have joined forces with colleague, Dr. Kai Wang, expert in Informatics and Machine Learning to form the new Biostatistics & Data Science core. The Biostatistics faculty, through long association with the IDDRC, are integrated into multiple domains of IDD biomedical research, from basic science to clinical and translational medicine. Dr. Wang, through his expertise in machine learning and other informatics approaches, his recently established collaborations with IDDRC members and extensive experience in brain disorders, adds a new and exciting angle to the new generation of big data analytics and training. Eligibility: These services are available both to approved users of the IDDRC at Children’s Hospital of Philadelphia/University of Pennsylvania (CHOP/PENN) and to users at Centers throughout the IDDRC Network.

（核心C- BDSC：生物统计学和数据科学核心） 项目摘要 描述：生物统计学和数据科学核心（BDSC）提供全面的专家分析工具 对于想要在定量实验设计，生物统计学和信息技术方面支持支持的IDDRC用户 特别强调机器学习。核心在以两个代表的领域中具有证实的专业知识 子核（1）生物统计学，由生物统计学，流行病学和信息学系的教师 宾夕法尼亚大学（PENN）支持基础科学，临床试验和 观察性研究以及随之而来的数据（2）信息学和机器学习的分析以及教师 来自费城儿童医院（CHOP）的生物医学健康信息学系 支持“ OMIC”数据的高级数据集成以及解释，分类和预测 造型。第三个子核心将支持职业发展和教育。核心成员致力于 导师和老师。玛丽·普特（Mary Putt）博士，生物统计学教授，毕业生前副副主席 流行病学与生物统计学小组和生物统计学研究生计划的计划主席是总体 生物统计学子核心的核心主任兼主任。生物医学副教授Kai Wang博士 Chop and Pathology（PENN）的健康信息学，以及生物医学研究所的高级研究员 Informatics是信息和机器学习子核心的副主任。助理Rui Xiao博士 生物统计学教授和儿科教授是职业发展与教育副主任 核 与IDDRC任务的相关性：BDSC支持我们IDDRC的整体主题，特别是（1）有影响力 研究与智力和发育障碍（IDD）和 （2）新一代IDD研究人员的职业发展和教育。 BDSC从 以前的生物统计学和生物信息学核心；它与其他IDDRC的活动相互作用和/或 核心和研究项目。这个良好的生物统计学教师（Putt和Xiao博士） 核心已与同事Kai Wang博士联手，信息学和机器学习专家，以形成 新的生物统计学和数据科学核心。通过与IDDRC长期相关的生物统计学教师是 从基础科学到临床和翻译的IDD生物医学研究的多个领域。 药品。 Wang博士，通过他的机器学习和其他信息方法的专业知识，他最近 与IDDRC成员建立了合作，并在脑部疾病方面具有丰富的经验，并增加了一个新的和 与新一代大数据分析和培训相关的角度。 资格：这些服务既可以批准在儿童医院的IDDRC批准的用户 费城/宾夕法尼亚大学（CHOP/PENN）以及整个IDDRC网络中心的用户。