Heeringa received a PhD in biostatistics from the University of Michigan. He has over 35 years of statistical sampling experience directing the development of the SRC National Sample design, as well as sample designs for SRC's major longitudinal and cross-sectional survey programs. During this time, he has been actively involved in research on sample design methods and procedures for survey inference such as weighting, variance estimation, and the imputation of missing data. Heeringa is a member of the Faculty of the University of Michigan Program in Survey Methods and the Joint Program in Survey Methodology housed at the University of Maryland. He has been a teacher of survey sampling methods to U.S. and international students and has served as a sample design consultant to a wide range of international research programs based in countries such as Russia, the Ukraine, Uzbekistan, Kazakhstan, India, Japan, Nepal, China, Egypt, Iran, South Africa and Chile. Steve Heeringa is a Fellow of the American Statistical Association and an Elected Member of the International Statistical Institute. He is the lead author of Applied Survey Data Analysis (Chapman & Hall, 2010), a comprehensive new text on methods for the statistical analysis of complex sample survey data.