Senior Research Scientist, University of Michigan
Steven Heeringa is a Senior Research Scientist at the University of Michigan Institute for Social Research (ISR) where he is Director of the Statistical Design Group. He is a member of the Faculty of the University of Michigan Program in Survey Methods and the Joint Program in Survey Methodology at the University of Maryland. Heeringa is a Fellow of the American Statistical Association and elected member of the International Statistical Institute. He is the author of many publications on statistical design and sampling methods for research in the fields of public health and the social sciences. Heeringa has over 35 years of statistical sampling experience in the development of the ISR's National Sample design, as well as research designs for the ISR's major longitudinal and cross-sectional survey programs.
By This Author
Multiple Imputation of Missing Data Using SAS®
Written for users with an intermediate background in SAS programming and statistics, this book is an excellent resource for anyone seeking guidance on multiple imputation. It provides both theoretical background and practical solutions for those working with incomplete data sets in an engaging example-driven format.
- Bart Baesens is an associate professor at KU Leuven (Belgium) and a lecturer at the University of Southampton (United Kingdom).
- Stephen McDaniel is a west coast-based independent consultant and trainer focused on meeting business needs with simple technical solutions.
- Rick Wicklin is a principal researcher in computational statistics at SAS, where he develops and supports the IML procedure and the SAS/IML Studio application.
- Ron Cody, EdD, a retired professor from the Robert Wood Johnson Medical School now works as a private consultant and a national instructor for SAS Institute.