Adaptation of New Statistical Ideas for Medicine

新的医学统计理念的适应

• 批准号: 6740139
• 负责人: BRADLEY EFRON
• 金额: $ 17.79万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-01-15 至 2004-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6740139
• 关键词: bioimaging /biomedical imaging; computer data analysis; data collection methodology /evaluation; data management; informatics; microarray technology; neoplasm /cancer therapy; statistics /biometry

DESCRIPTION (provided by applicant): Biostatistical methodology is in a race to keep up with the massive databases being accumulated by new biomedical technologies. The long-term purpose of this grant has been to shorten the transfer time between modern statistical theory and its successful application to practice. The three new projects proposed here each use computer-intensive theoretical ideas to attack a difficult applications area: empirical Bayes methods for the analysis of microarray data; two way proportional hazards modeling for disentangling complicated survival situations that arise in cancer and HIV studies; and new permutation and bootstrap methods for assessing genotype-phenotype relationships in large association studies.

描述（由申请人提供）：生物统计方法正在竞相 跟上新生物医学积累的海量数据库 技术。这笔赠款的长期目的是缩短 现代统计理论及其成功应用之间的转换时间 去练习。这里提出的三个新项目均使用计算机密集型技术 攻克困难应用领域的理论思想：经验贝叶斯 微阵列数据分析方法；双向比例风险 建立模型来解决癌症中出现的复杂生存情况 和艾滋病毒研究；以及用于评估的新排列和引导方法 大型关联研究中的基因型-表型关系。