Dr. Charles D. Cowan is the Senior Advisor of IMS. With more than 50 years of experience in statistical research and design, he consults numerous public and private sector entities on the design, implementation, and evaluation of research and the synthesis of statistical and sampling techniques for measurement.
Charles has designed some of the largest and most complex research programs for the Federal Government, including the Post Enumeration Program conducted by the Bureau of the Census to evaluate the 1980 Decennial Census, the Economic Cash Recovery valuations administered by the Resolution Trust Corporation in 1990-95, and many evaluation studies completed for the Justice Department, the Department of Defense, the Department of Housing and Urban Development, and the Treasury Department.
He has provided expert advice to corporations and government agencies on the incorporation of complex research designs in demographic and economic measurement problems, including the development of procedures used by the Resolution Trust Corporation and the FDIC, establishment of audit and sampling methods to determine the completeness and reliability of reporting and record systems, application of econometric and biometric procedures for measurement of credit risk in large portfolios of loans, evaluation of research conducted by the Department of Defense for the National Institutes of Health and the Department of Agriculture, model fitting and development of projection methods, development of procedures used by the Bureau of the Census for apportioning population data for revenue-sharing purposes, and the development of statistical methods to quantify the size of populations.
Charles teaches graduate and undergraduate courses in survey methods, statistics, and computer methods for analysis. He is the co-author of two books on the evaluation of survey and census methods and econometric measures related to the welfare of the US economy. He has written numerous articles on statistical methods, sampling, rare and elusive population research, and optimization techniques.