ADAPTATION OF NEW STATISTICAL IDEAS FOR MEDICINE

新的医学统计理念的应用

• 批准号: 2008213
• 负责人: BRADLEY EFRON
• 金额: $ 10.45万
• 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 1998-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2008213
• 关键词: bias; data collection methodology /evaluation; human data; human therapy evaluation; information systems; neoplasm /cancer therapy; statistics /biometry; therapy compliance

DESCRIPTION: (Adapted from the applicant's abstract) The past thirty years have been a period of intense methodological development in statistics, with ideas such as proportional likelihood, robust estimation, jackknife/bootstrap methods, empirical Bayes techniques, longitudinal estimation, and EM algorithm becoming important. The long term purpose of this application is to shorten the transfer time between promising theoretical/methodological innovations and their biostatistical applications. This usually means linking the new methods to established statistical theory, and making clear their data- analytic advantages. the applicants' research is pursued from both the Stanford statistics department and medical school. Four areas are proposed here as focal points for forthcoming research: the use of complicance data in the analysis of clinical trials; bootstrap methods particularly as applied to bias-correction, metaanalysis, prediction, and the construction of confidence ellipsoids; Monte Carlo Markov chain estimators for the analysis of the type of contingency tables arising form genetic marker data; and practical formulas for simultaneous hypothesis testing, based on Hotelling's geometric arguments. Some of this work will be carried out in collaboration with biomedical researchers working on arthritis, AIDS, cardiovascular disease, genetics research, and other diseases in which compliance measurements are particularly useful.

描述：（改编自申请人的摘要）过去三十年