Adaptation of New Statistical Ideas for Medicine

描述（由申请人提供）：生物统计学方法学正在进行竞争， 跟上新生物医学积累的大量数据库， 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转换时间 练习这里提出的三个新项目都使用了计算机密集型 理论上的想法，攻击一个困难的应用领域：经验贝叶斯 微阵列数据分析方法;双向比例风险 用于解开癌症中出现的复杂生存情况的建模 和艾滋病毒的研究;和新的排列和自助方法， 大关联研究中的基因型-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.