STATISTICAL CONSULTING LAB

这个子项目是利用由NIH/NCRR资助的中心拨款提供的资源的许多研究子项目之一。子项目和调查员(PI)可能从另一个NIH来源获得了主要资金，因此可能会出现在其他CRISE条目中。列出的机构是针对中心的，而不一定是针对调查员的机构。统计咨询实验室的长期目标是成为一个区域资源，为基础科学研究、临床或基于人群的研究提供统计支持，并评估旨在解决S地区人口健康和健康差距问题的干预措施。作为边界生物医学研究中心(BBRC)的一个主要组成部分，统计咨询实验室将继续作为一个焦点，所有BBRC的参与者都可以从该中心获得统计和计算支持，用于他们的研究和生物科学系研究生项目的教育。统计支助由一名博士级别的工作人员统计员和数学科学系的五名资源统计员(包括SCL核心主任)提供。统计学支持包括：1)规划样本大小，以便使用最少的实验单位来达到指定的能力或预测能力；2)根据可估计量指定相关假设的模型；3)适当时随机化实验单位；4)分析数据，检查某些统计方法所需的假设的有效性；5)当现有统计方法的有效性所需的基本假设被违反时，修改或创建统计方法；6)解释结果；7)教授生物科学系的研究生生物统计学核心课程；8)研究提案的制定和方案审查。统计学家和生物医学研究人员之间密切的长期工作关系将得到培养，包括从教学中释放出来的时间、暑期工资和旅行支持。计算支持由一名网络管理员提供，他协助硬件选择和维护、创建电子数据库的电子表格设计、数据库管理和备份，以及为招募学生进入健康科学职业而进行的主页设计和维护。SCL计算设施将使用最新的软件和硬件进行维护。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The long-term goal of the Statistical Consulting Laboratory (SCL) is to be a regional resource for the statistical support of basic science research, clinical or population based research, and evaluation of interventions designed to address issues of health and health disparities in the region¿s population. As a major component of the Border Biomedical Research Center (BBRC), the Statistical Consulting Lab will continue to serve as a focal point from which all BBRC participants may obtain statistical and computing support for both their research and for the education of students in the graduate programs of the Biological Sciences Department. Statistical support is provided by a Ph.D. level staff statistician, and five resource statisticians (counting the SCL core director) in The Department of Mathematical Sciences. Statistical support includes: 1) Planning sample sizes so that the minimum number of experimental units are used to achieve a specified level of power or predictive ability; 2) Specifying models for related hypothesis in terms of estimable quantities; 3) Randomizing experimental units when appropriate; 4) Analyzing data, checking for validity of assumptions required by certain statistical methods; 5) Modifying or creating statistical methodology when basic assumptions required for validity of the existing statistical methodology are violated; 6) Interpreting the results; 7) Teaching the graduate Biostatistics core course for the Biological Sciences Department; and 8) Research proposal development and protocol review. Close long-term working relationships between statisticians and biomedical researchers will be nurtured with release time from teaching, summer salary, and travel support. Computing support is provided by a network manager who assists with hardware selection and maintenance, spread sheet design for creation of electronic databases, database management and backups, and homepage design and maintenance for recruitment of students to careers in the health sciences. SCL computing facilities are to be maintained with up-to-date software and hardware.