Statistics Collaborative - Design and analysis for biomedical research


Kimberly Walters, Ph.D.
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 a number of areas, including treatments for pulmonary arterial hypertension, Alzheimer’s disease, obesity, advanced breast cancer, and an orphan neurodegenerative disorder. She has served as a lead statistical programmer for data monitoring committee (DMC) work and a programming specialist on smaller consulting 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 programs in SAS and R, directs programming by a team, oversees project budgets, interacts with clients and DMC members, and assists in statistical analysis plan development. She programs a variety of complex graphical displays, including multi-panel annotated individual profile plots, and statistical analyses, such as multiple imputation, 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”.