Statistical methodology in the health sciences

我研究的主要目标是开发和评估统计方法，这些方法可以有效地应用于健康科学研究。这项研究的大部分涉及开发方法，当标准统计技术因违反基本假设而不合适时，可以应用这些方法。这方面的一个例子是我过去和现在对集群随机试验的分析方法的研究，这种试验将完整的社会单位而不是个人分配到治疗中。由于集群内的个人不能被视为在统计上独立，标准的分析方法不适用，并可能导致误导性的结论。我在这一领域的大部分研究都集中在开发方法上，这些方法以一种方式考虑集群内的依赖关系，从而得出的推论具有有效和高效的统计特性。我与尼尔·克拉尔(Arnold出版公司，2000)合著的教材《集群随机化试验的设计与分析》对这一主题进行了全面的论述。

The principal objective of my research is to develop and evaluate statistical methodology that may be usefully applied to health sciences research. Most of this research involves the development of methods that may be applied when standard statistical techniques are inappropriate, due to the violation of underlying assumptions. An example of this is my past and continuing research on methods of analysis for cluster randomization trials which allocate intact social units rather than individuals to treatment. Since individuals within a cluster cannot be regarded as statistically independent, standard methods of analysis do not apply, and could result in misleading conclusions. Much of my research in this area has been focused on the development of methods that take into account within-cluster dependencies in such a way that the resulting inferences have valid and efficient statistical properties. My textbook "Design and Analysis of Cluster Randomization Trials", co-authored with Neil Klar (Arnold Publishing Co., 2000) presents a comprehensive treatment of this subject.The Chinese translated edition of this text was published in 2006.