Kevin Gittner
Dr. Gittner is an Assistant Professor of Biostatistics and Research Methods, specializing in statistics and research methodology. With a diverse background in survey methodology, study design, latent variable analysis, biostatistics, mixed methods, and evaluation research, he has developed expertise across multiple disciplines in public health and education. Throughout his academic and professional career, Dr. Gittner has collaborated on a wide range of research projects spanning various fields, including survey methodology, infant mortality, orthopedic outcomes, mental health, dietary habits, veteran studies, law enforcement, special education, and cardiovascular disease modeling. As the primary statistician in these collaborations, he has played a crucial role in assessing psychometrics of instruments, designing and improving survey instruments and recruitment plans, and conducting statistical analyses using various software tools to address research questions. Dr. Gittner is particularly passionate about designing methodological studies, utilizing latent variables in research, and supporting practitioners in advocating for marginalized populations. His research interests extend to the development and refinement of statistical methods, with a focus on providing rigorous and meaningful insights to improve public health outcomes and enhance the quality of research in diverse fields.
In addition to his research endeavors, Dr. Gittner actively contributes to several research initiatives. He serves as a statistician and methodologist on the NIH-funded TOPOWA social drivers of mental illness study, collaborating with an international team of researchers in Georgia and Uganda. In this role, he contributes his expertise in statistical analysis and research methodology to further understand the complex factors influencing mental health outcomes. Furthermore, Dr. Gittner holds a collaborative faculty support role in the Human Studies Lab at KSU, where he provides guidance and mentorship to undergraduate and graduate students interested in conducting research related to infant growth and mortality. His active involvement in decision-making processes and valuable insights contribute to the scholarly work conducted within these programs.
Through his interdisciplinary collaborations and research involvements, Dr. Gittner exemplifies his dedication to advancing statistical methodologies and promoting evidence-based practices. His commitment to addressing important social and health issues, along with his expertise in statistical analysis, positions him as a respected researcher and advocate for equitable health outcomes. Overall, Dr. Gittner's extensive training, collaborative approach, and research interests make him a valued contributor in the field, with a strong commitment to methodological rigor and improving the lives of individuals and communities through evidence-based practices.