Statistics Collaborative - Design and analysis for biomedical research

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Mark Schactman, M.S., M.H.S.
Statistical Scientist

Mark Schactman, M.S., M.H.S., joined Statistics Collaborative, Inc. (SCI) in 2007. He is a member of the American Statistical Association, the Society for Clinical Trials, and the Delta Omega Honorary Society in Public Health.

With over 20 years of experience as a statistician and statistical programmer, Mr. Schactman has taken a lead role at SCI in developing and maintaining proprietary macro code that can be used across projects at SCI. These macros enhance accuracy, improve programming efficiency, and expedite the dissemination of new programming techniques and statistical methods to programming and statistical staff.

At SCI, Mr. Schactman has served as the independent reporting statistician for Data Monitoring Committees (DMCs) for multinational Phase 2 and 3 industry sponsored trials in areas such as oncology, vision loss, diabetes, and Alzheimer's disease. He has contributed to several final analyses for novel radiologic devices and has presented a poster at the Society for Clinical Trials (SCT) meetings on appropriate confidence intervals when proportions have values close to zero or one. He provides general consultation on sample size, protocol design, analysis plan development, and other statistical issues to SCI's clients.

Prior to joining SCI, he served as Director of Statistical Programming at HHI Clinical Research & Statistical Services, LLC (1998–2006) (now inVentiv Clinical Solutions); Manager of Biostatistics at Guilford Pharmaceuticals, Inc. (1996–1998); Biostatistician at the Maryland Medical Research Institute (MMRI) (1993–1996); and Research Statistician at the Maryland Department of Health and Mental Hygiene (1991–1993).

 

He received his B.S. in Engineering and B.A. in Mathematics from Washington University in St. Louis (1988), his M.S. in Engineering (Operations Research) from The Johns Hopkins University (1990), and his M.H.S. in Biostatistics from the Johns Hopkins Bloomberg School of Public Health (2000).