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- Data analysis
- Medicaid and CHIP
- Unemployment Insurance
- Family Support
- TANF and Employment Issues
- Human Services
Carol Razafindrakoto has extensive experience processing and analyzing large data sets and implementing algorithms and methods.
Razafindrakoto provides analyses, SAS and Stata programming, and staffing support for human services research. He also organizes and leads programming teams. One of his large-scale projects involves providing SAS programming support for the development, electronic specification, and maintenance of clinical quality measures for health professionals participating in the Medicare Electronic Health Records Incentive Program. He is also supporting impact evaluations for major initiatives of the Centers for Medicare & Medicaid Services, including the Partnership for Patients study and the Extended Medicare Coordinated Care Demonstration. In addition, he implements solutions to problems related to data linkage, data acquisition, and analyses process automations, as well as data validation and transformation and customized summary reports. Most recently, Razafindrakoto helped develop a software package to allow users to easily conduct comprehensive randomized control trial evaluations under various study designs and analyses scenarios.
Before joining Mathematica, Razafindrakoto held positions at Princeton University, the Population Reference Bureau, and the University of Wisconsin. He holds an M.S. in epidemiology from the University of Wisconsin.
Rural Welfare-to-Work Strategies Demonstration Evaluation
This evaluation used random assignment to assess innovative approaches to helping welfare-dependent and other low-income families in rural areas to enter, maintain, and advance in employment and to secure family well-being.
Medicare Coordinated Care Demonstration
Mathematica tested whether care coordination and disease management programs in the fee-for-service setting lower Medicare expenditures, or increase the quality of health care services and beneficiary and provider satisfaction without increasing expenditures for beneficiaries with chronic illnesses....