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National Center for Health Statistics - ORM


Photo: Lawrence H. Cox, PhDLawrence H. Cox, PhD (Associate Director)


Dr. Lawrence's previous positions include senior mathematical statistician for the U.S. Census Bureau, senior mathematical statistician for the U.S. Environmental Protection Agency, and director, Board on Mathematical Sciences, National Academy of Sciences. Dr. Cox holds a bachelor of science from Manhattan College and a Ph.D. from Brown University, both in mathematics. He is an elected fellow of the American Statistical Association, an elected member of the International Statistical Institute, and is active in a variety of professional associations.

Dr. Cox's research has focused on the use of mathematical theory and methods, including mathematical programming to model and solve problems in statistical science. Such problems, arising principally in official statistics, tend to be computationally large and complex, necessitating a mixture of theoretical and algorithmic solutions. Much of his research has been directed at problems in statistical data confidentiality and disclosure limitation, including the development of theory and computational methods for controlled data rounding and perturbation, complementary cell suppression, and controlled tabular adjustment. His recent research examines the effects of disclosure limitation methods on the quality and usability of released disclosure-limited data, and development of new and enhanced quantitative methods to balance data confidentiality and data quality.

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