RESEARCH IN BIOSTATISTICAL METHODOLOGY AND MATHEMATICAL MODELING

生物统计方法和数学建模研究

• 批准号: 3752537
• 负责人: C C BROWN
• 金额: --
• 依托单位: DIVISION OF CANCER PREVENTION AND CONTROL
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/3752537
• 关键词: caloric dietary content; cancer information system; cancer prevention; cancer risk; computer simulation; diet; human data; human mortality; mathematical model; model design /development; neoplasm /cancer epidemiology; nutrient intake activity; nutrition related neoplasm /cancer; nutrition related tag; prognosis; statistics /biometry

Different statistical methods to adjust the effect of macronutrient intake for total energy intake are currently being used to analyze epidemiologic studies of diet and disease. This research examines the statistical properties of these methods. Published during the past year were: 1) a paper which interprets the regression coefficients of three alternative regression models showing that four different effects of interest (related to either adding calories to the diet or substituting sources of calories in the diet) are estimable by each model and derives the standard errors of these estimates; and 2) a paper which examines the behavior of these methods when the study subjects are categorized into a small number of groups according to their nutrient intake. When the true macronutrient intakes and their inter- relationships are known without error, this investigation shows that Willett's "residual" method is more powerful than the "standard" method (both measuring the effect of calorie substitution) and very similar to the "density" method. Submitted for publication is a paper which examines the ability of currently used energy adjustment regression methods to disentangle the effects of total energy from its component macronutient-specific parts. We determined that, based solely on results from a diet-cancer epidemiologic study, concluding the existence of a specific macronutrient effect as opposed to a generic energy effect is not possible without making additional assumptions.

不同的统计方法来调整大量营养素摄入量的影响 总能量摄入量目前被用于分析流行病学 饮食和疾病的研究。 这项研究调查了统计数据， 这些方法的特性。 去年出版的有： 1)一份解释三个回归系数的论文 替代回归模型显示，四种不同的影响， 兴趣（与在饮食中添加卡路里或替代 饮食中的卡路里来源）可由每个模型估计， 这些估计的标准误差;及 2)这篇论文研究了这些方法的行为， 受试者根据其 营养摄入量 当真正的宏量营养素摄入量和他们之间的， 关系是已知的，没有错误，这项调查表明， 威利特的“残差”法比“标准”法更有力 (both测量卡路里替代物的效果），并且非常类似于 “密度”法。 提交出版的是一篇论文，它考察了 目前使用的能量调整回归方法来解开 总能量的影响，从其组成macronutient具体部分。 我们 确定，仅基于饮食癌症流行病学的结果， 研究，结论是存在特定的常量营养素效应， 与一般的能量效应相反， 额外的假设。