RESEARCH IN BIOSTATISTICAL METHODOLOGY AND MATHEMATICAL MODELING

生物统计方法和数学建模研究

• 批准号: 2571498
• 负责人: C C BROWN
• 金额: --
• 依托单位: DIVISION OF CANCER PREVENTION AND CONTROL
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/2571498
• 关键词: carcinogenesis; clinical research; data collection methodology /evaluation; diet; human data; mathematical model; model design /development; neoplasm /cancer epidemiology; nutrition aspect of cancer; nutrition related tag; protooncogene; statistics /biometry

Different statistical methods are currently being used to analyze epidemiologic studies of diet and disease. This research project is examining the statistical properties of these methods. During the past year, a paper was written summarizing the advantages and disadvantages of different approaches to energy adjustment. Work has begun on new statistical models for incorporating measurement error in dietary intake, and the models are being tested on data from several dietary calibration studies. The Armitage-Doll mathematical model of carcinogenesis is being applied to experimental data on p53-knockout mice. Preliminary analyses indicate that inhibition of the normal p53 gene's tumor suppressor function by knocking out both alleles of the gene is consistent with 1 or 2 "stages" in the cancer process. Experimental data on hemizygotes with only one allele knocked out are being collected for additional analyses. New statistical methods for detection and inference of disease clusters are being developed. Previously proposed methods have been tests for overall clustering and do not have the ability to identify the location of clusters. The properties of a spatial scan statistic which takes into account the nonhomogeneous population densities as well as confounding variables have been evaluated. The statistic both tests for the location of clusters and tests for their statistical significance, and thus can be used both to evaluate cluster alarms and for routine surveillance. The spatial scan statistic has also been extended to study space-time clusters in addition to purely spatial ones.

目前正在使用不同的统计方法 分析饮食和疾病的流行病学研究。 这 研究项目正在检查统计特性 这些方法。 去年写了一篇论文 总结不同的优缺点 能源调整的方法。 新的工作已经开始 将测量误差纳入统计模型 饮食摄入量，并且正在对模型进行数据测试 来自多项饮食校准研究。 致癌作用的 Armitage-Doll 数学模型是 应用于 p53 敲除小鼠的实验数据。 初步分析表明，正常的抑制 通过敲除p53基因的肿瘤抑制功能 该基因的等位基因与 1 或 2 个“阶段”一致 癌症的过程。 半合子实验数据 仅收集一个被敲除的等位基因 额外的分析。 用于检测和推断的新统计方法 疾病群正在形成。 之前提出的 方法已经过整体聚类测试，并且没有 具有识别簇位置的能力。 这 空间扫描统计的属性，其中考虑 考虑非均匀人口密度以及 已对混杂变量进行了评估。 统计数据 既测试簇的位置又测试它们的 统计显着性，因此可用于 评估集群警报和日常监视。 这 空间扫描统计也已扩展到研究 除了纯粹的空间簇之外，还有时空簇。