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

抽样调查为广泛的社会科学学科的研究提供了基础。在抽样调查中，无反应是一个常见的问题，特别是那些涉及人口调查的问题。未能解释无回应可能会严重破坏调查结果的有效性，特别是如果未被观察到的特征与被调查者的特征有系统的不同。在过去的十年里，我们看到了几种新的统计技术的发展，这些技术旨在处理无反应的问题。然而，在这些技术可以轻易地应用于实践之前，还需要进一步的方法和应用工作。该项目的目的是制定统计方法，用于分析缺少和/或不完整答复的调查数据，并将该方法应用于旨在研究纽约州医疗事故相关费用的大型调查。

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.