MISSING DATA, MEASUREMENT ERROR AND APPLICATIONS

数据缺失、测量错误和应用

• 批准号: 2837333
• 负责人: CHING-YUN WANG
• 金额: $ 10.85万
• 依托单位: FRED HUTCHINSON CANCER RESEARCH CENTER
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-12-15 至 2002-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2837333
• 关键词: cancer risk; data collection methodology /evaluation; dietary calcium; dietary supplements; female; hormone therapy; human data; method development; neoplasm /cancer epidemiology; nutrition related tag; postmenopause; statistics /biometry; vitamin D; vitamin therapy; women's health

DESCRIPTION: (Adapted from Investigator's Abstract) Missing or mismeasured regression variables are frequently encountered in the analysis of cancer research data. This problem is a major issue in dietary research, for example. The broad goal of this research is to develop statistical methods for data analysis in the presence of missing or mismeasured regression variables, and to apply these methods to epidemiologic and clinical studies. Specific areas of research include the following: 1) development of a nonparametric regression calibration method for Cox regression when validation data are available; 2) development of methods for Cox regression with reliability data; 3) development of methods for logistic regression analysis using conditional exposure mean for missing or mismeasured exposures; and 4) development of methods for characterizing associations between multiple variables. Asymptotic theory will be developed and simulation studies will be conducted. The methods will be applied to data from the Women's Health Initiative, a large disease prevention trial and observational study involving 164,500 women with the objective of evaluating the benefits and risks of dietary modification, hormone replacement therapy and supplementation with calcium and vitamin D on the overall health of postmenopausal women. The investigator states that the proposed methods will also accommodate two-stage designs which are becoming popular in epidemiologic research and particular in genetic epidemiology.

描述：（改编自研究者摘要）缺失或测量错误