Quantitative Neurostatistics

定量神经统计学

• 批准号: 8381134
• 负责人: Daijin Ko
• 金额: $ 11.24万
• 依托单位: UNIVERSITY OF TEXAS SAN ANTONIO
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至 2014-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8381134
• 关键词: Address; Advisory Committees; Biological; Biometry; Cell model; Collaborations; Communities; Complex; Consultations; Data; Data Analyses; Data Set; Doctor of Philosophy; Educational workshop; Experimental Designs; Faculty; Genomics; Glean; Image; Individual; Laboratories; Language; Learning; Measurement; Methodology; Methods; Modeling; Neurobiology; Neurosciences; Participant; Research; Research Personnel; Resources; Science; Statistical Methods; Students; Surface; Synapses; Techniques; Texas; Training; Universities; Work; base; design; interest; meetings; member; programs; research study; statistics; theories; tool; training project

Statistics has greatly influenced all scientific research in the modern era. As new theories are proposed, Statistics comes to the forefront of the debate to quantify how well theory corresponds with observed information. Biologicial research is built upon such observations and modern science is built upon models (e.g., synaptic or cellular models), which closely predict such phenomena . As variability is inherent to all measurements, statistical methods are essential tools for sifting interpretive potential from observations. While many investigators are adept at identifying critical research questions and generating complex data sets, intrinsic information in data is often lost, overlooked, or misinterpreted due to limitations in either the designed experiment or the investigator's repertoire of inferential techniques. Under the "Quantitative Neurobiology" theme of this proposal, a Quantitative Statistics Core will be established to optimize information gleaned from numerical data by providing cutting edge statistical and analytic support to UTSA Neurobiologists during the planning and analysis of their research. The Quantitative Statistics Core supplements the research programs of SNRP-investigators with support in the form of statistical and computational expertise by drawing upon the considerable resources of the PhD program in Applied Biostatistics at UTSA. Three advanced PhD students in Applied Biostatistcs will be chosen based on background and interest to be stationed in the labs of the three SNRP-investigators. Each student will provide ongoing, individualized consultation and collaboration in experimental design and data analytic methods to the investigator's research program. This arrangement will provide Biostatistics PhD students with data for their doctoral projects and training in practical Neuroscience, in addition to adding quanititative power to the research programs of the SNRP-investigators.

统计学在很大程度上影响了现代的所有科学研究。随着新理论的提出， 统计数据成为争论的焦点，以量化理论与观察结果的一致性 信息.生物学研究是建立在这样的观察基础上的，现代科学是建立在模型基础上的。 (e.g.,突触或细胞模型），其密切预测此类现象。因为可变性是所有 统计方法是从观测中筛选解释潜力的重要工具。 虽然许多研究人员擅长确定关键的研究问题和生成复杂的数据， 数据集，数据中的内在信息往往丢失，忽视，或误解，由于限制，无论是 设计的实验或研究者的推理技巧。在“量化 神经生物学”主题的建议，将建立一个定量统计核心，以优化 通过向UTSA提供最先进的统计和分析支持，从数值数据中收集信息 神经生物学家在规划和分析他们的研究。定量统计核心 补充SNRP研究人员的研究计划，以统计和 通过利用应用博士课程的大量资源， 在UTSA的生物统计学。三个先进的应用生物统计学博士生将根据选择 这三位SNRP研究人员的实验室里驻扎着他们的背景和兴趣。每个学生将 在实验设计和数据分析方面提供持续的个性化咨询和协作 研究者的研究计划。这种安排将提供生物统计学博士生 他们的博士项目和实际神经科学培训的数据，除了增加定量 对SNRP研究人员的研究计划的权力。