STATISTICAL CONSULTING LAB

这个子项目是许多利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 统计咨询实验室（SCL）的长期目标是成为一个区域资源，为基础科学研究、临床或基于人口的研究提供统计支持，并评估旨在解决该区域人口健康和健康差距问题的干预措施。 作为边境生物医学研究中心（BBRC）的一个主要组成部分，统计咨询实验室将继续作为一个联络点，所有BBRC参与者都可以为他们的研究和生物科学系研究生课程的学生教育获得统计和计算支持。 统计支持由一位博士提供。数学科学系的高级统计员、高级统计员和五名资源统计员（包括SCL核心主任）。 统计支持包括：（1）设计样本量，使最小数量的实验单元用于达到特定水平的功效或预测能力;（2）根据可估计的数量对相关假设进行建模; 3)4）分析数据，检查某些统计方法所要求的假设的有效性; 5)当违反现有统计方法有效性所需的基本假设时，修改或创建统计方法; 6）解释结果; 7）为生物科学系教授研究生生物统计学核心课程;以及8）研究提案制定和方案审查。 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从教学，夏季工资和旅行支持释放时间培育。 计算机支持由网络管理员提供，他协助硬件选择和维护，电子数据库创建的电子表格设计，数据库管理和备份，以及网页设计和维护，以招聘学生从事健康科学职业。 标准及校正实验所的计算设施须以最新的软件及硬件进行保养。

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.