My methodological research focuses in two major areas: design and analysis of population-based surveys, and development of causal modeling estimators. Together, these areas may be coherently thought of as special cases of missing data: population surveys are censuses from which typically most of the population data is missing, while causal estimators, in particular "potential outcomes" models, can be viewed as analyses in which outcomes under different treatment assignments cannot, by design, be observed.