HABS-HD - Core F - Biostatistics Core

HABS-HD - 核心 F - 生物统计学核心

• 批准号: 10708883
• 负责人: Sid E O'Bryant
• 金额: $ 68.09万
• 依托单位: UNIVERSITY OF NORTH TEXAS HLTH SCI CTR
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-30 至 2027-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10708883
• 关键词: Algorithms; Alzheimer' s Disease; Alzheimer' s disease therapeutic; Amyloid; Artificial Intelligence; Bioinformatics; Biological Markers; Biometry; Biostatistics Core; Clinical; Clinical Research; Clinical Trials Design; Cognitive; Collaborations; Communities; Complex; Consultations; Consumption; Data; Data Analyses; Data Discovery; Data Reporting; Data Set; Disease; Disease Marker; Doctor of Philosophy; Ensure; Epidemiologist; Equation; Faculty; Generations; Genetic; Genomics; Health; Health Promotion; Image; Individual; Informatics; Infrastructure; International; Lead; Longevity; Machine Learning; Mediation; Methodology; Methods; Modeling; Modernization; Monitor; Nerve Degeneration; Neurology; Outcome; Pathologic; Population Heterogeneity; Preventive Medicine; Proteomics; Protocols documentation; Publications; Qualifying; Quality Control; Research; Research Design; Research Institute; Research Methodology; Research Personnel; Resources; Safety; Specific qualifier value; Statistical Data Interpretation; Statistical Methods; Training; Update; Work; aging brain; biomarker discovery; data integration; data quality; data reduction; design; disorder prevention; experience; health disparity; improved; innovation; machine learning method; machine learning model; metabolomics; method development; neuroimaging; novel; novel marker; power analysis; prognostic; programs; recruit; tau Proteins

HABS-HD BIOSTATISTICS CORE (CORE F) - ABSTRACT The overall objective of the Biostatistics Core (Core F) is to oversee data quality control (data QC) and biostatistical efforts of the HABS-HD U19. Core F will also provide reports for Data Safety Monitory Board (DSMB) review. These objectives will be accomplished through the continuation and expansion of the biostatistical resources and functions developed under the ongoing HABS-HD infrastructure now being managed through a newly established Core F. Core lead, Rema Raman, PhD, is the Director of Biostatistics and Recruitment for the USC’s Alzheimer’s Therapeutic Research Institute (ATRI). As a biostatistician and a clinical trialist, she brings decades of experience in study design, data QC, study monitoring and statistical analysis, having directed Data and Biostatistics Cores and Units for several multi-center clinical research programs in Neurology. Core Co-lead, Raymond Palmer, PhD is a biostatistician/epidemiologist trained in Preventive Medicine with over 30 years of experience in Health-Promotion Disease-Prevention statistical research methods including multilevel design, mediation analysis, and the applications of modern missing data methods. He specializes in the application of latent variable modeling and longitudinal data analysis within a structural equation modeling framework, including among diverse populations. Core F includes faculty biostatisticians with extensive experience in the specialized analyses required for each of the U19 projects. Michael Donohue, PhD, brings extensive experience in analyzing trajectories of change of Alzheimer’s disease (AD) pathological amyloid (A), tau (T) and neurodegeneration (N) markers as well as clinical trial design. Drs. Rajesh Nandy, Fan Zhang, and Zhengyang Zhou have extensive experience in artificial intelligence (AI) and machine learning (ML) methods for analysis of complex imaging, genomics, proteomics, and metabolomics. Core F Specific Aims: Aim 1: Data Quality Control (Data QC) (Core – Core Interaction). To ensure highest possible quality of data for scientific analysis. Aim 2: Biostatistics (Core – Core & Core – Project Interactions). To provide statistical expertise, consultation and guidance in the design, methodology, execution, and analysis for all HABS-HD Projects. Aim 3: Data Reduction and Discovery (Core – Core & Core – Project Interactions). Collaborate with each Core for data reduction and novel data discovery analyses. Aim 4: Methods Development & Cross-Study Collaborations (Core – Core & Core – Project Interactions). To generate innovative statistical methods and collaborate with investigators in the larger research community.

HABS-HD 生物统计核心 (CORE F) - 摘要 生物统计学核心（核心 F）的总体目标是监督数据质量控制（数据 QC）和 HABS-HD U19 核心 F 的生物统计工作还将向数据安全监测委员会提供报告。 （DSMB）审查将通过继续和扩展来实现这些目标。 目前正在管理的 HABS-HD 基础设施下开发的生物统计资源和功能 通过新成立的 Core F。核心领导者 Rema Raman 博士担任生物统计学和生物统计主任 南加州大学阿尔茨海默病治疗研究所 (ATRI) 招聘生物统计学家和临床医生。 试验员，她在研究设计、数据质量控制、研究监测和统计分析方面拥有数十年的经验， 曾指导多个多中心临床研究项目的数据和生物统计学核心和单元 神经病学核心联合负责人雷蒙德·帕尔默博士是一位接受过预防培训的生物统计学家/流行病学家。 医学界在健康促进疾病预防统计研究方法方面拥有超过 30 年的经验 包括多层次设计、中介分析以及现代缺失数据方法的应用。 专注于潜在变量建模和纵向数据分析在结构中的应用 方程建模框架，包括不同人群之间的关系 Core F 包括具有以下能力的生物统计学家。 Michael Donohue 博士在每个 U19 项目所需的专业分析方面拥有丰富的经验。 在分析阿尔茨海默病（AD）病理性淀粉样蛋白变化轨迹方面拥有丰富的经验 (A)、tau (T) 和神经退行性变 (N) 标记物以及临床试验设计 Rajesh Nandy、Fan Zhang 博士。 周正阳和周正阳在人工智能（AI）和机器学习（ML）方法方面拥有丰富的经验 用于复杂成像、基因组学、蛋白质组学和代谢组学的分析 核心 F 具体目标： 目标 1：数据。 质量控制（数据QC）（核心-核心交互）确保科学数据的最高质量。 目标 2：生物统计学（核心 - 核心和核心 - 项目交互）。 为所有 HABS-HD 项目的设计、方法、执行和分析提供咨询和指导。 3：数据缩减和发现（核心 - 核心和核心 - 项目交互）。 目标 4：方法开发和交叉研究合作。 （核心 - 核心和核心 - 项目互动）。 更大的研究界的调查员。