Kimberly Walters, PhD

Statistical Scientist

Kimberly Walters, Ph.D., joined Statistics Collaborative, Inc. (StatCollab) 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 StatCollab, Dr. Walters has served as the lead statistician for final analyses, the study statistician for a Sponsor’s pivotal trial, the independent reporting statistician to data safety monitoring boards (DSMBs), and a consultant for biotechnology companies. She has played key roles for clinical trials in a variety of therapeutic areas, including cardiovascular disease, chronic kidney disease, oncology, obesity, and neurodegenerative disorders.

Dr. Walters writes statistical analysis plans for interim and final analyses, presents novel statistical methodology at professional conferences, and has supported Sponsors in the regulatory setting. She programs in SAS and R, supervises more junior biotatisticians, manages statistical programming teams, oversees project resources, and drafts documents such as data transfer agreements, project budgets, and DSMB charters. Dr. Walters 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 new statistical methods, 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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