Core 2: Biostatistics and Bioinformatics Core

核心2生物统计学和生物信息学：摘要 MD Anderson GI孢子的生物统计和生物信息学核心将服务于 规划和实施孢子的翻译研究目标。基于以下方面的良好记录 为翻译研究提供生物统计和生物信息学支持(包括目前资助的孢子 其他器官地点的赠款和NCI P01赠款)，核心将是一个全面的、多边的资源，用于 设计临床试验和基础科学实验，进行统计分析，开发创新 统计方法，并发表从这一GI孢子产生的研究结果。核心将是 由MDACC生物统计系教授兼副主席Jeffrey Morris博士领导， 在生物统计和生物信息学各方面具有不同专业知识的模范合作调查员队伍。 生物统计和生物信息学核心的具体目标是： 具体目标1：为临床试验和其他试验的设计和进行提供指导， 包括基因组学，产生于正在进行的GI孢子研究，包括孢子项目， 发展项目，以及其他核心。 具体目标2：提供生物统计和生物信息学建模、模拟技术和数据分析 项目和其他核心实现其特定目标所需的资源。 具体目标3：为所有项目编制统计报告，并协助项目调查员发布 科学成果。 具体目标4：开发和调整与以下方面有关的创新统计和生物信息学方法 转化性癌症研究。

CORE 2 BIOSTATISTICS AND BIOINFORMATICS: Summary The Biostatistics and Bioinformatics Core for the MD Anderson GI SPORE will serve multiple needs for the planning and conduct of the SPORE's translational research goals. Based on a strong track record for providing biostatistics and bioinformatics support for translational research (including currently funded SPORE grants in other organ sites and NCI P01 grants), the Core will be a comprehensive, multi-lateral resource for designing clinical trials and basic science experiments, performing statistical analyses, developing innovative statistical methodology, and publishing the research results generated from this GI SPORE. The Core will be led by Dr. Jeffrey Morris, professor and deputy chair in the Department of Biostatistics at MDACC, with an exemplary cadre of co-investigators with varied expertise in all aspects of biostatistics and bioinformatics. The Specific Aims of the Biostatistics and Bioinformatics Core are: Specific Aim 1: To provide guidance in the design and conduct of clinical trials and other experiments, including genomics, arising from the ongoing research of the GI SPORE, including SPORE projects, developmental projects, and other cores. Specific Aim 2: To provide biostatistical and bioinformatic modeling, simulation techniques and data analyses needed by the Projects and other Cores to achieve their Specific Aims. Specific Aim 3: To generate statistical reports for all projects and assist project investigators to publish scientific results. Specific Aim 4: To develop and adapt innovative statistical and bioinformatics methods pertinent to translational cancer studies.