Internal Pilots for Repeated Measure ANOVA

重复测量方差分析的内部先导

• 批准号: 6697043
• 负责人: Keith E Muller
• 金额: $ 20.56万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-01-15 至 2005-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6697043
• 关键词: Internal; Pilots; Repeated; Measure; ANOVA

DESCRIPTION: (Abstract) Repeated measures of continuous data often provides the best combination of cost and statistical sensitivity for a wide range of health research in many disciplines. As driving examples, consider comparing methods of displaying digital mammograms, or radiotherapy planning films. The limited number and cost of qualified readers encourage choosing a minimum sample size, while scientific goals demand great sensitivity to differences. An accurate sample size analysis allows the scientist to resolve the conflict. Unfortunately, accurate sample size choice requires an accurate value for error variance of Gaussian data. Uncertainty surrounding the variance makes an Internal Pilot design very appealing. Such designs use the first fraction of the data to estimate the variance and then adjust the sample size up or down, as needed to achieve the target power. However, appropriate analysis methods are not available for repeated measures with internal pilots. Our research will meet the need for such new methods. (1) We will develop better statistical power approximations for the "univariate approach" to repeated measures (UNIREP ANOVA), including exact properties and more accurate approximations. (2) We will derive exact and approximate properties of the distribution of final sample size of Internal Pilot designs used with UNIREP ANOVA. (3) We will describe analytic properties of UNIREP ANOVA in Internal Pilot designs, including some exact and large sample distributions, as well as practical algorithms.

（摘要）连续数据的重复测量通常为许多学科的广泛健康研究提供了成本和统计灵敏度的最佳组合。作为驱动例子，考虑比较显示数字乳房x光片或放疗计划片的方法。合格读者的数量和成本有限，鼓励选择最小的样本量，而科学目标需要高度的敏感性