Rod Little Roderick J. A. Little Chair and Professor, Biostatistics Department Professor, Statistics Department Home page Incomplete Data, Sample Surveys, Bayesian Statistics, Applied Statistics. A primary research interest is the analysis of data sets with missing values. Many statistical techniques are designed for complete, rectangular data sets, but in practice biostatistical data sets contain missing values, either by design or accident. Another interest is the analysis of data collected by complex sampling designs involving stratification and clustering of units. Since working as a statistician for the World Fertility Survey, I have been interested in the development of model-based methods for survey analysis that are robust to misspecification, reasonably efficient, and capable of implementation in applied settings.
Statistics is philosophically fascinating and diverse in application.
My inferential philosophy is model-based and Bayesian, although the effects of model misspecification need careful attention. My applied interests are broad, including mental health, demography, environmental statistics, biology, economics and the social sciences as well as biostatistics. A note about models for selectivity bias. Maximum likelihood estimation for mixed continuous and categorical data with missing values. Editing and imputation for quantitative data.