BIOSTATISTICS--MODELING AND INFERENCE

生物统计学——建模和推理

• 批准号: 3182335
• 负责人: RICHARD ALLEN OLSHEN
• 金额: $ 9.07万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-07-01 至 1991-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3182335
• 关键词: computers; mathematical model; model design /development; neoplasm /cancer epidemiology; statistics /biometry; voltage /patch clamp

The research we propose is all connected with extremely computer intensive statistics applied to cancer research, other medical problems and physiology. Olshen proposes studying problems in tree-structured methods and sample reuse techniques. In particular, he proposes study and implementation of a technique for producing unbiased estimates within the terminal nodes of a classification tree, and study of stratification and redesign of sample reuse methods. Investigations of asymptotic results on tree-structured methods that incorporate adaptiveness of splitting rules and rates of convergence for the algorithms are also proposed. Fredkin and Rice propose development of methodology for restoration of noisy single channel patch clamp data. A variety of issues arise in this regard: proper handling of filtering via deconvolution, data-based smoothing parameter estimates, extension of algorithms and computer code to handle multi conductance level channels, and special methods for dealing with flickering. Special attention will be given to the development of efficient computer code. Abramson proposes further study of a recursive technique for use in conditional analysis of models in which there are a large number of effects (for example, baseline measurements) that are not of primary interest and a small number of fixed effects that are. He proposes development of polished software for general distribution.

我们提出的研究都与极其相关 计算机密集型统计应用于癌症研究等 医疗问题和生理学。 Olshen 提出研究树结构方法中的问题 样品再利用技术。 他特别建议学习和 实施产生无偏估计的技术 在分类树的终端节点内，并研究 样品再利用方法的分层和重新设计。 树结构方法渐近结果的研究 结合了分裂规则和比率的适应性 还提出了算法的收敛性。 Fredkin 和 Rice 提议开发方法 恢复有噪声的单通道膜片钳数据。 各种 在这方面出现的问题：通过正确处理过滤 反卷积，基于数据的平滑参数估计， 扩展算法和计算机代码来处理多种 电导水平通道，以及处理的特殊方法 闪烁。 将特别关注发展 高效的计算机代码。 艾布拉姆森建议进一步研究递归技术的使用 在模型的条件分析中，有大量 影响的数量（例如，基线测量） 不具有主要利益和少量固定效应 是。 他建议开发通用软件 分配。