RESOURCE CORE 3: BIOSTATISTICS AND DATA MANAGEMENT CORE

资源核心 3:生物统计学和数据管理核心

基本信息

  • 批准号:
    8206035
  • 负责人:
  • 金额:
    $ 9.94万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-06-01 至
  • 项目状态:
    未结题

项目摘要

The Biostatistics and Data Management Core (RC3) is one of four resource cores in the OAIC at the University of Florida. The mission ofthe UF OAIC is (1) to assess the risk factors and better understand the biological mechanisms of physical disability in older adults, (2) to develop and test effective prevention therapies, and (3) to educate and train new investigators in research on aging and disability, while developing their leadership qualities. The Biostatistics and Data Management Core is a key cog in the interaction between scientists from many disciplines to accomplish this mission. The core functions as both a data analysis resource and as a data coordinating center, involved in constructing data collection forms and managing the data (including quality control) for the studies conducted within the OAIC. In this capacity, the core maintains and updates the registry for the Recruitment, Adherence, and Retention Core (RC4) and tracks all research conducted within the OAIC with a web tracking system. The core is involved in all phases of these studies including initial study design and sample size calculations pre-proposal, randomization, and state-of-the-art statistical analyses once the data are completed. For study designs and data for which currently methodology is lacking, the core has the expertise to develop new state of the art methodology to perform correct and appropriate analyses of data collected in the Center. The Biostatistics and Data Management Core also is involved in preparation of manuscripts for dissemination within the research community. Finally, the Core serves as a key resource to the Junior Scholars of the Research Career Development Core (RCDC), providing consulting services and periodic special interest training topics, such as research methods, power analysis, analysis of incomplete data, principles of data management, and analysis of longitudinal data.
生物统计学和数据管理核心(RC3)是佛罗里达大学OAIC的四个资源核心之一。UF OAIC的使命是(1)评估老年人身体残疾的危险因素,更好地了解老年人身体残疾的生物学机制,(2)开发和测试有效的预防疗法,以及(3)

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Michael J Daniels其他文献

An Exploration of Fixed and Random Effects Selection for Longitu- Dinal Binary Outcomes in the Presence of Non-ignorable Dropout 3.2 Variable Selection in Missing Data Mechanism 4 Simulation Studies
不可忽略丢失情况下纵向二元结果的固定和随机效应选择的探索 3.2 缺失数据机制中的变量选择 4 模拟研究
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ning Li;Michael J Daniels;Gang Li;R. Elashoff
  • 通讯作者:
    R. Elashoff
Effects of an Intervention to Increase Bed Alarm Use to Prevent Falls in Hospitalized Patients
增加床报警器使用以预防住院患者跌倒的干预措施的效果
  • DOI:
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    39.2
  • 作者:
    R. Shorr;A. Chandler;L. Mion;T. Waters;Minzhao Liu;Michael J Daniels;L. Kessler;Stephen T. Miller
  • 通讯作者:
    Stephen T. Miller
Dietary assessment and estimation of intakedensitiesMichael
膳食评估和摄入密度估计Michael
  • DOI:
  • 发表时间:
    1999
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Michael J Daniels;A. Carriquiry
  • 通讯作者:
    A. Carriquiry

Michael J Daniels的其他文献

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{{ truncateString('Michael J Daniels', 18)}}的其他基金

Bayesian machine learning for complex missing data and causal inference with a focus on cardiovascular and obesity studies
用于复杂缺失数据和因果推理的贝叶斯机器学习,重点关注心血管和肥胖研究
  • 批准号:
    10563598
  • 财政年份:
    2023
  • 资助金额:
    $ 9.94万
  • 项目类别:
Combining longitudinal cohort studies to examine cardiovascular risk factor trajectories across the adult lifespan and their association with disease
结合纵向队列研究来检查成人寿命期间的心血管危险因素轨迹及其与疾病的关联
  • 批准号:
    10618846
  • 财政年份:
    2021
  • 资助金额:
    $ 9.94万
  • 项目类别:
Combining longitudinal cohort studies to examine cardiovascular risk factor trajectories across the adult lifespan and their association with disease
结合纵向队列研究来检查成人寿命期间的心血管危险因素轨迹及其与疾病的关联
  • 批准号:
    10279399
  • 财政年份:
    2021
  • 资助金额:
    $ 9.94万
  • 项目类别:
Combining longitudinal cohort studies to examine cardiovascular risk factor trajectories across the adult lifespan and their association with disease
结合纵向队列研究来检查成人寿命期间的心血管危险因素轨迹及其与疾病的关联
  • 批准号:
    10430254
  • 财政年份:
    2021
  • 资助金额:
    $ 9.94万
  • 项目类别:
BAYESIAN APPROACHES FOR MISSINGNESS AND CAUSALITY IN CANCER AND BEHAVIOR STUDIES
癌症和行为研究中缺失和因果关系的贝叶斯方法
  • 批准号:
    9623592
  • 财政年份:
    2018
  • 资助金额:
    $ 9.94万
  • 项目类别:
BAYESIAN APPROACHES FOR MISSINGNESS AND CAUSALITY IN CANCER AND BEHAVIOR STUDIES
癌症和行为研究中缺失和因果关系的贝叶斯方法
  • 批准号:
    9437722
  • 财政年份:
    2018
  • 资助金额:
    $ 9.94万
  • 项目类别:
PREDOCTORAL TRAINING IN BIOMEDICAL BIG DATA SCIENCE
生物医学大数据科学博士前培训
  • 批准号:
    9116413
  • 财政年份:
    2016
  • 资助金额:
    $ 9.94万
  • 项目类别:
Bayesian approaches for missingness and causality in cancer and behavior studies
癌症和行为研究中缺失和因果关系的贝叶斯方法
  • 批准号:
    8672913
  • 财政年份:
    2014
  • 资助金额:
    $ 9.94万
  • 项目类别:
Bayesian approaches for missingness and causality in cancer and behavior studies
癌症和行为研究中缺失和因果关系的贝叶斯方法
  • 批准号:
    9041551
  • 财政年份:
    2014
  • 资助金额:
    $ 9.94万
  • 项目类别:
COVARIANCE ESTIMATION FOR LONGITUDINAL CANCER DATA
纵向癌症数据的协方差估计
  • 批准号:
    6288245
  • 财政年份:
    2001
  • 资助金额:
    $ 9.94万
  • 项目类别:

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亚裔美国童年幸存者加速衰老的指标
  • 批准号:
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对投资撤资的非裔美国人社区的社区劣势、认知老化和阿尔茨海默病风险进行纵向调查
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