Patricia Feeney, M.S., M.A., joined Statistics Collaborative, Inc. (SCI) in 2010. At SCI, Ms. Feeney has been involved with studies in cancer, chronic kidney disease, mammography devices, and diabetes. She has served as a project manager, coordinating and presenting interim monitoring reports for multi-center, Phase 2 and 3 trials. Her contributions have included project management, experimental design, protocol development, sample size calculations, and confirmatory analysis. She also writes programs to create datasets and statistical analyses, validates program code, and provides general statistical consultation support for SCI’s clients.
Previously, she was a Biostatistician in the Department of Biostatistics at Wake Forest University Health Sciences (2003–2010), where she worked on two major, long-term, NIH-sponsored trials. ACCORD (Action to Control Cardiovascular Risk in Diabetes) and Look AHEAD (Action for Health in Diabetes) are both multi-center, randomized controlled trials designed to test the effects of primarily pharmacological and lifestyle interventions, respectively, on cardiovascular outcomes in patients with Type II diabetes. Ms. Feeney served on several subcommittees with outside investigators providing statistical support and analyses of trial conduct and outcomes. She worked with multi-disciplinary teams on issues related to data collection, form design, quality control, electronic data capture, dynamic web reporting, and automated e-mail notification of clinical events. She contributed to reports to the Data Safety Monitoring Boards and provided training to clinical sites and managers.
She received her B.A. magna cum laude in Economics and Spanish from St. Mary’s College of Maryland (1998). She earned a M.A. in Spanish from the University of Wyoming (2000) and her M.S. in Experimental Statistics from New Mexico State University (2003). Her undergraduate thesis was entitled “Análisis de la economía mexicana: 1880 al presente”. Her graduate theses were entitled “Teatro revolucionario de Juan Bustillo Oro”, and “Multivariate Bernoulli distribution for nonresponse”, respectively.