Analysis of Sample Surveys

Data on national health and epidemiology are often collected using complex probability sample designs involving stratification and clustering of units. Faculty in Biostatistics are engaged in the design of such surveys, and in developing methods of analysis. Topics include designs that combine information from samples and administrative sources, and robust analysis methods based on models that improve on standard design-based inferences, and deal with problems of missing data.

Faculty: M. Elliott, P. Han, J. Lepkowski, R. Little, 

Links: U-M Institute for Social Research , Kidney Epidemiology & Cost Center