Matt Downs, MPH

Statistical Scientist

Matt Downs, M.P.H., joined Statistics Collaborative, Inc. (StatCollab) in 1996. He is a member of the American Statistical Association (ASA) and the Society for Clinical Trials (SCT).

Since 1999, Mr. Downs has served as the independent reporting statistician to DMCs for multinational Phase 2 and 3 trials in heart disease and stroke, solid tumor and hematologic malignancies, sepsis and infectious disease, ophthalmology, neurodegenerative disorders such as Alzheimer’s and Parkinson’s disease, and autoimmune disorders such as lupus and rheumatoid arthritis.

Mr. Downs has managed and analyzed the final results of gene therapies against HIV infection and studies of treatments of HIV-associated cachexia and Hansen’s disease. He has analyzed data from diagnostic imaging studies and a validation study of a scale measuring the severity of oral mucositis in cancer patients. He has participated in the design of a multiple endpoint oncology study, a trial investigating restoration of neurologic function following prostatectomy, and trials investigating the effect of an enzyme replacement therapy for the treatment of hypophosphatasia, an orphan indication in both the adult and pediatric settings. He has drafted the analysis plan for the integrated summary of efficacy for a treatment of a hematologic malignancy and has taken the statistical lead in a subject‑level meta‑analysis of cardiovascular outcomes in trials for a treatment to control diabetes.

With over 20 years of experience as a SAS programmer, Mr. Downs has presented articles at national and regional SAS user group conferences on data visualization and on project management. He has taken a lead role at StatCollab in validating the results of other programmers, staying abreast of CDISC’s standards for datasets, and developing proprietary macro code for use in many projects at StatCollab.

Mr. Downs speaks at professional meetings on a range of statistical topics, including dynamic allocation methods, conditional power, and implementation of treatment assignment algorithms. In addition, he has co-authored presentations discussing the management of Data Monitoring Committees (DMCs) and the role of the independent reporting statistician.

He received his B.A. magna cum laude in Anthropology and B.S. in Biology from the State University of New York, Geneseo (1994) and his M.P.H. in Epidemiology and Biostatistics from the University of California, Berkeley (1996). His master’s project was a review of the risk factors and compensatory behaviors related to the aging process and the continued ability to drive.

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