Adaptation of New Statistical Ideas for Medicine

描述(申请人提供)：生物统计学方法论正在竞相 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 现代统计理论与其成功应用之间的过渡时间 去练习。这里提出的三个新项目每个都使用计算机密集型 攻击困难应用领域的理论思想：经验贝叶斯 微阵列数据的分析方法.双向比例危害 解开癌症中复杂生存状况的模型 和艾滋病毒研究；以及新的排列法和自助法 大关联研究中的基因-表型关系。

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.