Anne Peterson

Posted on May 23, 2016 by -

A highly respected project leader, Anne has specialized in the statistical design and analysis of health, education, and social policy evaluations for almost three decades. A statistician by training, her expertise includes the design and implementation of large-scale probability based surveys and experimental designs with a particular focus on formative evaluations, process evaluations, impact evaluations, and evaluations of demonstrations. She has extensive experience in complex data analysis and simulations, including multivariate modeling of complex survey data.

Since co-founding Insight almost 20 years ago, she has led many national studies on critical issues in health care (such as maternal and child health, health information technology, workforce, payment error and program integrity, access to care and disparities in care) as well as important studies on improving the food safety net and reducing hunger. For the Supplemental Nutrition Assistance Program, she has led a variety of projects designed to improve data quality, increase program integrity, and assess the feasibility of various policy changes. She has worked with numerous population groups, including physicians, nurses, and other healthcare providers; health insurance agencies; business owners; federal and state policymakers; families with special healthcare needs; seniors; people with disabilities; and individuals with limited English proficiency. Her clients include agencies across the federal spectrum, including the U.S. Department of Health and Human Services, the Department of Agriculture (USDA), the Department of Commerce, the Social Security Administration, and others.

Prior to founding Insight, Anne had more than 10 years of federal experience, serving at both the U.S. Census Bureau and USDA’s National Agricultural Statistics Service. She is an expert in synthesizing data from multiple sources into high-level reports and policy and issue briefs. Anne is an active member of the American Statistical Association and the Washington Statistical Society.