BIOSTATISTICAL AND DATABASE MANAGEMENT CORE

德克萨斯大学安德森癌症中心的生物统计和数据管理核心 项目“多发性骨髓瘤的症状机制及其治疗”将提供 对根据该计划实施的研究的规划和实施提供全面支持。这 资源将为假设检验和改进、实验设计、实施提供指导 临床试验、数据收集和管理、数据分析和数据建模。它将提供 编制总结方案成果的报告所需的统计专业知识。这个核心 还将支持制定分析下列各项所需的创新统计方法 多变量混合有序和连续纵向数据。这一方法将基于 症状反应和神经精神病学、神经认知学和 作为潜在状态空间的函数的定量感觉变量。该框架是作为 这一研究方案将有助于缺失数据的分析和连续数据的联合建模 和离散数据。最后，此核心将支持开发、分析和解释 用于测量癌症症状和治疗相关的心理测量仪 症状负担，并将应用多维缩放和聚类方法来识别 伴随细胞因子免疫活性变化而出现的症状。 这一核心的具体主要目标如下： 1.制定适当的统计模型，以分析在每个方案下收集的数据 项目。 2.开发和维护一个中央数据库管理系统，以整合所有项目的数据 和核心。 3.提供描述性分析、假设检验、估计和创新的统计建模 项目、发展项目和其他核心实现其目标所需的。 4.确保所有项目的结果都以精心设计的实验为基础，并确保结果 从这些实验中得到了适当的解释。

The Biostatistics & Data Management core for The University of Texas M. D. Anderson Cancer Center Program Project "Mechanisms of Symptoms of Multiple Myeloma and Its Therapy" will provide comprehensive support for the planning and conduct of research implemented under this program. This resource will provide guidance for hypothesis testing and refinement, experimental design, implementation of clinical trials, data collection and management, data analysis, and data modeling. It will provide statistical expertise required for the preparation of reports summarizing program achievements. This core will also support the development of innovative statistical methodology required for the analysis of multivariate mixed ordinal and continuous longitudinal data. This methodology will be based on hierarchical, joint longitudinal modeling of symptom response and neuropsychiatric, neurocognitive, and quantitative sensory variables as functions of an underlying state space. The framework developed as part of this research program will facilitate the analysis of missing data and joint modeling of both continuous and discrete data. Finally, this core will support the development, analysis, and interpretation of psychometric instruments designed for the measurement of cancer symptoms and treatment-related symptom burden, and will apply multidimensional scaling and clustering methodology to identify groups of symptoms that occur concurrently with changes in cytokine-immunological activations. The specific, primary objectives of this core are as follows: 1. To develop appropriate statistical models for the analysis of data collected under each of the program projects. 2. To develop and maintain a central database management system for integrating data across all projects and cores. 3. To provide descriptive analysis, hypothesis testing, estimation, and innovative statistical modeling needed by the projects, developmental projects, and other cores to achieve their objectives. 4. To ensure that the results of all projects are based on well-designed experiments and that the results from these experiments are appropriately interpreted.