ADAPTATION OF NEW STATISTICAL IDEAS FOR MEDICINE

有用的统计思想被引入生物医学实践， 一系列来源，包括理论研究和发展， 其他应用领域。 该补助金的长期目的是 加快将有前途的新统计技术转移到卫生领域， 相关应用。 这里提出了五个具体目标， 这涉及到计算机密集型方法与新的 统计理论的发展。 Bootstrap和置换方法 建议为一些具体的生物医学问题：在分析 用于医学图像以及染色体的精确测量， 通过辐射混合体订购。 类型的更一般的问题 生物统计工作中遇到的问题也在调查中： 准确的置信区间，评估离散 估计，如系统发育树，并利用贝叶斯思想 以客观的方式。 调查从以下几个方面探讨这些问题： 几个Vantage位置，斯坦福大学统计系，医学 学校和人类基因组计划。

Useful statistical ideas are drawn into biomedical practice from a wide range of sources, including theoretical research and developments in other application areas. The long-term purpose of this grant is to speed the transfer of promising new statistical technology into health- related applications. Five specific aims are proposed here, all of which involve a combination of computer-intensive methodology with new developments in statistical theory. Bootstrap and permutation methods are suggested for some specific biomedical problems: in the analysis of accuracy measurements for medical images, and also for chromosomal ordering via radiation hybrids. More general problems of the types encountered in biostatistical work are also under investigation: setting accurate confidence intervals, assessing the accuracy of discrete estimates such as phylogenetic trees, and making use of Bayesian ideas in an objective manner. The investigation pursues these topics from several vantage points, the Stanford statistics department, the medical school, and the Human Genome project.