Kimberly Walters, PhD

Senior Biostatistician

Kimberly Walters, Ph.D., joined Statistics Collaborative, Inc. (SCI) in 2015. She is a member of the American Statistical Association, the International Biometric Society (Eastern North American Region), and the Society for Clinical Trials.

At SCI, Dr. Walters has contributed to clinical trials in several therapeutic areas, including chronic kidney disease, obesity, Alzheimer’s disease, pulmonary arterial hypertension, and an orphan neurodegenerative disorder. She has served as the independent reporting statistician to data monitoring committees (DMCs), the project manager for the final analysis of a Phase 3 trial, and a consultant on smaller projects. Dr. Walters, in collaboration with Dr. Lisa Weissfeld at SCI, has developed methodology for the analysis of in vitro permeation testing (IVPT) experiments.

Dr. Walters develops project budgets, DMC charters, data transfer agreements, and statistical analysis plans for interim and final analyses. She programs in SAS and R, directs programming by a team, oversees project resources, presents new methods at professional conferences, and has supported sponsors in the regulatory setting. She has experience with such statistical trial designs and methods as noninferiority testing, multiple imputation, meta-analysis, repeated measures, and survival analysis.

Besides her expertise in randomized controlled trials gained during her dissertation, Dr. Walters has post-doctoral training in psychiatric genetics and large-scale public data repositories from her work as a biostatistician at the Research Institute at Nationwide Children’s Hospital in Columbus, OH. While there, she conducted simulation studies to develop novel statistical methodology, assessed data analytic protocols new to the group, and managed research assistants. She has presented her work at conferences, published in peer-reviewed journals, and contributed to numerous grant applications to the National Institute of Mental Health (NIMH).

Dr. Walters received her B.S. magna cum laude in Chemistry (Mathematics minor) from Rensselaer Polytechnic Institute (1996) and her Ph.D. in Biostatistics from The Ohio State University (2008). Her dissertation was titled “The Use of Post-Intervention Data from Waitlist Controls to Improve Estimation of Treatment Effect in Longitudinal Randomized Controlled Trials”.

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