John Klaric serves as a Principal Biostatistician at EmpiriStat Inc, where he plays a pivotal role in advancing medical research at Womack Army Medical Center. With over a decade of experience in biostatistics and applied statistics, John specializes in delivering robust statistical solutions to complex...
John Klaric serves as a Principal Biostatistician at EmpiriStat Inc, where he plays a pivotal role in advancing medical research at Womack Army Medical Center. With over a decade of experience in biostatistics and applied statistics, John specializes in delivering robust statistical solutions to complex multivariate quantitative problems. His expertise encompasses a wide range of methodologies, including mixed modeling with random and repeated effects, categorical data analysis, and experimental design (DoE).
At the Department of Clinical Investigation, John leads a dedicated team focused on data analysis and interpretation for critical medical research initiatives. His current projects involve evaluating the predictive ability of plasma biomarkers in diagnosing and treating skeletal muscle disorders, as well as modeling outcomes for patients suffering from post-traumatic headaches and concussions following mild traumatic brain injuries. These projects not only highlight his proficiency in statistical modeling but also underscore his commitment to enhancing patient care through rigorous scientific inquiry.
John's skill set is further complemented by his proficiency in software tools such as SAS and SPSS, enabling him to conduct comprehensive data analyses and implement advanced statistical techniques like structural equation modeling and multivariate statistics. His contributions are instrumental in ensuring that research findings are not only statistically sound but also clinically relevant, ultimately driving improvements in healthcare outcomes. As a thought leader in biostatistics, John Klaric continues to bridge the gap between complex statistical theory and practical application in the medical field, making a significant impact on the landscape of clinical research.
