Rod Little

Dr. Rod Little’s research interests include incomplete data, sample surveys, Bayesian statistics, applied and statistics. A primary research interest is the analysis of data sets with missing values; another interest is the analysis of data collected by complex sampling designs involving stratification and clustering of units. Dr. Little’s inferential philosophy is model-based and Bayesian, which he applies to the development of model-based methods for survey analysis that are robust to misspecification, reasonably efficient, and capable of implementation in applied settings. His applied interests are broad, including mental health, demography, environmental statistics, biology, economics and the social sciences as well as biostatistics.