December 5, 2006: Interdisciplinary Speed Networking
Dr. Jerry Reiter
Asst Professor, Interdisciplinary Statistics and Decision Sciences
jerry@stat.duke.edu
1. Please briefly describe your research and the way in which it is interdisciplinary. I am interested in the analysis of complex surveys, especially missing data methods and causal inference. I enjoy collaborating on data analyses with researchers who are not statisticians, particularly in the social sciences. I also work extensively on statistical methods for protecting the confidentiality of public use data.
2. How would you recommend that a student to learn more about your research? Visti my Web site.
3. What kinds of interdisciplinary connections are you interested in making at Duke? I am interested in collaborations with substantive researchers with complex datasets, especially in social science areas. Datasets with missing values are of high interest. I am interested in connecting with all sorts of people. I do not have any funded projects for students to work on at this stage, although future projects are always a possibility.
4. In what ways can you see a graduate student from another group or discipline fit into what you discussed above? Someone interested in building complex models for data could collaborate with me on my research on a regular basis. I also can help students interested in particular topics.
5. What skills or expertise would help you move forward in your research? Excellent modeling and computational skills.
6. Who are the people at Duke that you collaborate with on interdisciplinary work or have regular discussions about your research? Faculty in the medical school, the Nicholas School, and Sanford.
7. Comments
ISDS runs a consulting center for all Duke faculty and students. It gives free statistical advice.