John D. Keighley, PhD
Dr. John Keighley is an Education Associate Professor in the Department of Biostatistics at the University of Kansas Medical Center.
Dr. Keighley received his PhD in Statistics from the Department of Statistics at Kansas State University.
Dr. Keighley has worked on grants in the areas of cancer registry, clinical trials, and stroke. He has also consulted with VA and co-developed a readmission measure for mental health and with the local VA hospital. He is working with the national VA central cancer registry.
Education and Training
BS, Emporia State University, Major of Earth Science with minors in Mathematics and Physics
MS, Emporia State University, Mathematics
PhD, Kansas State University, Statistics
American Statistical Association, 1990 – Present
Education and Training
- BS, Earth Science, Emporia State University
- MS, Mathematics, Emporia State University
- PhD, Statistics, Kansas State University
I have worked with the Kansas Cancer Registry from October 1995 to present and have knowledge of cancer incidence, staging, and treatment for all types of cancer from this work. I have found this work to be both interesting and challenging as the registry has improved from an incomplete registry to the point of consistently receiving Gold certification from North American Association of Central Cancer Registries (NAACCR) and receiving the CDC’s National Program of Cancer Registries (NPCR) Registry of Distinction. I completed my PhD in Statistics in December 2005 and became a research assistant professor in the Department of Preventive Medicine in January of 2006. In July of 2007 the Department of Biostatistics was created in the school of Medicine and I joined the department. I am a member of the GU disease working group, the Cancer Prevention and Control, and the Biostatistics and Informatics Shared Resource (BISR). I have worked with the GI group in the Kansas City Veteran’s Hospital. I have served on the Kansas Masonic Cancer Research Institute’s Protocol Review and Monitoring Committee (PRMC). This committee reviews all human subject cancer or cancer-related protocols prior to the principal investigator beginning the submission process to HSC. My research interests that are applicable to the cancer registry include cancer cluster investigation methods and statistical methods used in cancer reporting. My statistical interests include linear models, mixed linear models, and generalized linear mixed models, analysis of large data sets as applied to medical records, clinical trials, and analysis methods used in population health, and text mining. I have moved to the teaching track so 70% of my effort is teaching.