"Model-Based Methods Non-ignorable Non-response Adjustments in Sample Surveys."

“样本调查中基于模型的方法不可忽略的无答复调整。”

• 批准号: 8921624
• 负责人: Nan Laird
• 金额: $ 15.68万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-07-01 至 1992-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8921624&HistoricalAwards=false
• 关键词: Model; Based; Methods; Non; ignorable

Sample surveys provide the fundamental basis for research in a wide range of social science disciplines. Nonresponse is a common problem in sample surveys, especially those involving surveys of human populations. Failure to account for nonresponse may seriously undermine the validity of survey results, particularly if the unobserved characteristics of the nonrespondents differ systematically from those of respondents. The last decade has seen the development of several new statistical techniques designed to handle the problem of nonresponse. However, further methodological and applied work is necessary before these techniques can be readily applied in practice. The aim of this project is to develop statistical methods for analyzing survey data with missing and/or incomplete responses, and apply the methodology to a large survey designed to study the costs associated with medical malpractice in New York State.

抽样调查为研究提供了基本的基础， 广泛的社会科学学科。 无反应是一种 抽样调查中的常见问题，特别是涉及 人口普查。 未能解释无应答 可能会严重损害调查结果的有效性， 特别是如果未观察到的特征， 非应答者与应答者的系统性差异。 在过去的十年里，我们看到了一些新的发展。 统计技术旨在处理的问题， 无反应 然而，进一步的方法和应用工作是 在这些技术可以很容易地应用于 实践 该项目的目的是发展统计 分析缺失和/或不完整调查数据的方法 回答，并将该方法应用于一项大型调查， 研究与医疗事故相关的费用， 约克州。