Our Website Has Moved!

The new address for the University of Kentucky College of Public Health is www.uky.edu/publichealth.

New Department Addresses
Health Behavior
Health Services Management
Preventive Medicine and Environmental Health

Department of Biostatistics

Biostatistics is a discipline that develops and applies methodology for quantitative studies in public health and biomedical research. The methodology focuses on the design and analysis of health surveys, clinical trials, prevention trials, intervention studies, longitudinal studies, and laboratory studies.

The Biostatistics concentration provides students with a general background in public health and appropriate methodological skills to work in applied settings in industry, government, and academia. Graduates with this concentration will be prepared for careers in areas that include data management, SAS programming/data analyst, clinical trials, outcomes research, and program evaluation.


Suite 205, 725 Rose Street
Lexington, KY 40536-0082
Phone: 859-218-2097
Fax: 859-257-4665


Dr. Richard Kryscio
Phone: 859-257-4064

Support Staff:

Johanna Wray
Phone: 859-218-2097

Biomedical informatics (BMI) is the interdisciplinary, scientific field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving and decision-making, motivated by efforts to improve human health. BMI is a meta-discipline, however, and does not exist by itself. Rather BMI builds on computing, communication and information sciences and technologies and their application in biomedicine. To that effect BMI can be viewed as a practical and applied discipline whose existence is intimately linked to current healthcare processes and whose intellectual products can have immediate benefit on healthcare and healthcare delivery. The new Division of Biomedical Informatics in the Department of Biostatistics in the College of Public Health represents the academic hub of BMI on the University of Kentucky Campus. The new Division will focus on the innovative uses of existing data and health information technology in supporting, public health, healthcare delivery and quality improvement activities while supporting research.

More information can be found at http://scholar.uky.edu/dbmi/


Photo of Dr. Johnson

Dr. Todd Johnson
Professor, Division Director
Curriculum Vitae

Dr. Johnson is a biomedical informatician with interdisciplinary training in computer science, artificial intelligence, and cognitive science.  He has over 20 years of experience doing research at the intersection of biomedical informatics, cognitive science, and computer science.  His research areas include clinical informatics, clinical research informatics, patient safety, decision making, human-centered design of information technology and medical devices, and information visualization. He is currently PI/director of a Training Program in Patient Safety and Quality, funded by the Agency for Healthcare Research and Quality, and a co-Investigator on 5 other funded programs in biomedical informatics, including UT Houston’s CTSA.  He is the author of over 90 peer-reviewed journal articles and book chapters, and he has presented over 100 keynote addresses, conference presentations and invited talks.  Dr. Johnson has recently been involved in the national effort to define biomedical informatics competencies, through membership on Biomedical Informatics Competencies subcommittee of the American Medical Informatics Association Academic Forum.

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Dr. Eric B. Durbin
Assistant Professor
More Info

Dr. Durbin is a cancer epidemiologist and biomedical informatician with training in biology, computer science, and epidemiology. He has over 23 years of experience in technical project management, population-based cancer surveillance and informatics support for basic, clinical and population-based cancer research. His research interests include electronic disease surveillance, pathology informatics, natural language processing, data standards and cancer epidemiology. He is currently director of the Cancer Research Informatics Shared Resource Facility at the Markey Cancer Center. He is also the PI and co-investigator on two cancer informatics projects funded by the Centers for Disease Control and Prevention. He led the international effort to establish Health Level Seven standards for electronic pathology reporting to cancer registries. He is currently working on methods for automated identification of patients for clinical trial and study recruitment.

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Dr. Ramakanth Kavuluru
Assistant Professor
Curriculum Vitae

Dr. Kavuluru has experience in two different areas in biomedical informatics: 1. knowledge-based systems and 2. security and privacy. His current focus is on applying text mining, knowledge-based techniques, and semantic web technologies to solve problems in healthcare and biomedical domains. His doctoral thesis is in the area of security measures for pseudorandom sequences to be used in stream ciphers. His research areas include natural language processing, knowledge-based systems, machine learning, data mining, and secure data outsourcing. He also has a professional interest in information security and is currently certified by the Global Information Assurance Consortium (GIAC). Prior to joining BMI@UK, he worked as a postdoctoral research scientist (2009-2011) at Wright State University in the Kno.e.sis center as a lead for an AFRL project.

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Dr. Sujin Kim
Associate Professor
Curriculum Vitae

Dr. Kim’s primary specialty is in the area of biomedical informatics; her doctoral and postdoctoral training focused on specialization in pathology and oncology informatics (University of Pittsburgh Medical Center, Pittsburgh, PA). She holds a primary appointment at the Division of Biomedical Informatics (College of Public Health) and second appointment as an associate professor in the School of Library Science (College of Communication and Information Studies) and joint appointment in the Department of Pathology and Laboratory Medicine (School of Medicine) at the University of Kentucky. She has extensive experience with the development of the human biorepository information system that stores and tracks tissue related information and has developed international collaborations supporting similar efforts. Her area of research interest include: Biorepository information system, metadata development for digital pathology images, biomedical informatics education and training, caption-based image descriptions, and health science information resources and services.

Photo of Dr. Radhakrishnan Nagarajan

Dr. Radhakrishnan Nagarajan
Associate Professor

Dr. Nagarajan's areas of research falls under evidence-based science that demands understanding associations and knowledge discovery from high-dimensional molecular and observational healthcare data sets using a combination of statistical algorithms, machine learning and network science approaches. Specific application areas include: translational bioinformatics, systems biology, social network analysis, clinical decision support and evidence-based guideline development. He is an ardent supporter of open-source software initiatives.

Photo of Dr. Lin Yang

Dr. Lin Yang
Assistant Professor
Curriculum Vitae

Lin Yang is an assistant professor with the Division of Biomedical Informatics, Dept. of Biostatistics in the University of Kentucky. He received his B. E. and M. S. from Xian Jiaotong University in 1999 and 2002, and his Ph. D. in Dept. of Electrical and Computer Engineering from Rutgers, the State University of New Jersey in 2009. He did part of his research in Siemens Corporate Research and IBM T. J. Watson Research Center in 2007 and 2008. His major research interests are focus on medical image analysis, imaging informatics, computer vision and machine learning. He is also working on high performance computing and computer aided diagnostics. Lin Yang can be reached at lin.yang at uky dot edu.

Dr. Lin Yang's academic website is here .







As a Division in the Department of Biostatistics, our overall mission is similar in spirit to the department but with a focus on cancer-related quantitative research.  The primary thrusts of our faculty as academic biostatistician scientists are three-fold.   We conduct innovative research across a broad array of statistical science applicable to cancer-related research ranging from traditional and adaptively designed clinical trials, to analysis of high-throughput microarray data, to design and analysis methods for behavioral and epidemiologic population-based cancer research studies.  We collaborate with cancer researchers by applying modern statistical methods in both the design and analysis to address issues and problems related to cancer.  We also play a key role in disseminating this knowledge not only through publication but through the classroom in our role of training and educating graduate students; the next generation of biostatisticians.  A critical goal that is served by these three roles of scholarship, collaboration and service and education is to enable cancer researchers to make appropriate and efficient inference and interpretation of their work that will ultimately enable a decrease in cancer burden in Kentucky, the US, and throughout the world.

As part of the Markey Cancer Center (MCC) at the University of Kentucky, our goal is to foster collaborative interactions among cancer center members in the provision of scientific and statistical support in all aspects of cancer research. To this end, our primary goal is to provide readily accessible, comprehensive and centralized support to Cancer Center members. More information regarding our Biostatistics Shared Resource Facility (BSRF) can be found at http://markey.uky.edu/bsrf/.


Photo of Dr. Shelton

Dr. Brent Shelton
Professor, Division Director
859-219-0773 x301
Curriculum Vitae

Dr. Brent Shelton is the Division Chief of Cancer Biostatistics and Professor as well as being Co-Director of the Biostatistics Shared Resource Facility at the Markey Cancer Center.  He has served as a faculty member at UK for more than 7 years now.  His statistical interests are focused on analysis of datasets with missing data and selection bias topics in general as well as design and analysis of group-randomized behavioral intervention studies.    He is also becoming more interested in adaptive design clinical trials.  He has built strong collaborations with behavioral scientists at UK who are focusing on changing behavior at all levels (patient, provider, system) to increase screening for cancers to facilitate early detection and prevention.   He is a co-investigator on several NCI-funded efforts along these lines. Another recent area of statistical interest of his is connected to analysis of environmental exposure data such as heavy metals exposure and the connection to various types of cancer in Appalachian Kentucky.  He has taught classes in the College of Public Health for the past several years including a course in categorical data analysis and a doctoral research methods course.  He is developing a new course in collaboration with one of his former doctoral students who has recently been appointed to the faculty ranks, Dr. Bin Huang, on the topic of how to analyze datasets with missing data.  This course will be taught in the Spring of 2010 to doctoral students in the new joint PhD program in Epidemiology/Biostatistics.    He has served on several national peer-review committees and reviewed for many journals.  For the past three years, he has served on one of NIH’s community intervention research study sections entitled   “Community Level Health Promotion(CLHP)” .  

Photo of Dr. Van Meter

Dr. Emily Van Meter
Assistant Professor
Curriculum Vitae

Dr. Emily Van Meter is an Assistant Professor in the Division of Cancer Biostatistics in the Department of Biostatistics and the Shared Resource Facility at the Markey Cancer Center at the University of Kentucky. She joined UK in September 2010 and previously received her PhD in Biostatistics from the Medical University of South Carolina. Her research interests include adaptive dose finding clinical trial designs, specifically the continual reassessment method. She also has interests in spatial analyses and research in neuroscience applications.

Photo of Dr. Huang

Dr. Bin Huang
Assistant Professor
859-219-0773 x280
Curriculum Vitae

Dr. Bin Huang is an Assistant Professor of the Division of Cancer Biostatistics in the Department of Biostatistics and the Biostatistics Shared Resource Facility at the Markey Cancer Center, and Director of Population-Based Cancer Research at the Kentucky Cancer Registry (KCR). His research interest focuses on applications of innovative statistical and epidemiological methodologies and study designs to population-based cancer research, including comparative effectiveness analysis, missing data analysis, and geo-spatial data analysis. He is also interested in adaptive design clinical trials and high-throughput data analysis.  He has extensive experience in collaborations with researchers in outcome research utilizing publically available datasets from sources such as KCR, SEER, CMS and HINTS.

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Dr. Heidi Weiss

Dr. Weiss is Professor in the Departments of Surgery and Biostatistics and is Director of the Biostatistics Shared Resource Facility of the Markey Cancer Center at the University of Kentucky. Dr. Weiss has over 15 years experience as faculty and senior biostatistician from Biostatistics Cores of NCI-designated cancer centers at Baylor College of Medicine and the University of Alabama at Birmingham. Dr. Weiss has expertise and research interests in biostatistical methods for study design, sample size planning and statistical analysis of in vitro, in vivo and translational studies; longitudinal analysis of tumor multiplicity and tumor growth in transgenic, xenograft, and chemically-induced animal cancer models; and Bayesian design and monitoring of early phase clinical trials focusing on cancer chemoprevention and immunotherapy.

Photo of Dr. Li Chen

Dr. Li Chen
Assistant Professor
Curriculum Vitae

Dr. Li Chen is an Assistant Professor of the Division of Cancer Biostatistics in the Department of Biostatistics and the Biostatistics Shared Resource Facility at the Markey Cancer Center. She joined the University of Kentucky in September 2010. Her research interest is the development and application of novel statistical methods for medical and epidemiological studies especially in cancer research.  Specifically, she is interested in semiparametric and nonparametric methods, survival analysis, longitudinal analysis, diagnostic tests, statistical genetics and genomics.

Photo of Dr. Chi Wang

Dr. Chi Wang
Assistant Professor
Curriculum Vitae

Dr. Chi Wang is an Assistant Professor of the Division of Cancer Biostatistics in the Department of Biostatistics and the Biostatistics Shared Resource Facility at the Markey Cancer Center. He received his PhD in Biostatistics from the Johns Hopkins Bloomberg School of Public Health. His research focuses on high-throughput data analysis, gene set enrichment analysis, gene signature identification, and FDR control. He is also interested in semiparametric methods and Bayesian model selection.


Applied Statistics Laboratory (ASL)

The Department of Statistics with the support of the Department of Biostatistics, several Colleges, the Office of the Vice President for Research and the IT Academic Technology Group, has launched an Applied Statistics Laboratory (ASL) July 2011. The laboratory will provide a central location for Investigators and students seeking statistical support for study design and data analysis with scholarly work.

Its primary goals are:

  1. To provide direct faculty involvement from the Departments of Statistics and Biostatistics for study design and data analysis throughout the University.
  2. To provide improved statistical services to groups preparing grant proposals (in particular junior faculty and pilot studies).
  3. To provide a resource which may be referenced in institutional support for larger grant applications, in addition to direct statistical support typically included in such grants.
  4. To consolidate and enhance existing statistical support services, which are currently by their nature distributed in isolated locations. These services will be enhanced by (a) providing more efficient faculty supervision, and (b) allowing each individual currently served to have access to the full array of expertise available.
  5. To foster truly collaborative research between researchers who develop quantitative methodology and those who use such methodology in their work. This is intended to increase the number and quality of interdisciplinary scholarly articles and grant applications.

"We envision improved breadth and quality of statistical support for scholarship across the University," says Dr. Arne Bathke, Founding Director of the ASL, but he also points out that the services provided by the ASL will not substitute for basic statistical education that is provided in undergraduate and graduate Statistics service courses offered by the Departments of Statistics and Biostatistics.

Dr. Arnold Stromberg, Chair of the Statistics Department adds that "the intent of the ASL is not to alter the larger grant enterprise which is already under the supervision of faculty in Statistics or Biostatistics. Many projects will remain with their current reporting structure. The ASL is rather intended as an incubator for small to medium sized projects. The ASL will provide a central location where researchers can acquire their needed statistical support, with faculty supervision, and grow their projects into larger funded enterprises."

The Applied Statistics Laboratory will centralize statistical consulting activities on campus and provide the possibility of direct faculty supervision to the numerous activities already underway. Together with Director Arne Bathke, it will be led by Associate Directors Dr. Constance Wood, and Dr. Heather Bush. As in the past, ASL requests from the Colleges of Medicine, Dentistry, Health Sciences, and Public Health will continue to be overseen by Dr. Bush. The ASL will be managed by Candace Brancato, who formerly served as a senior statistician in the pharmaceutical industry. Two experienced M.S. statisticians (Adam Lindstrom and Jane Gokun), as well as several graduate students in Statistics and Biostatistics will help provide statistical support. The Directors have been involved in all levels of statistical consulting and collaboration from routine inquiries to serving as PI or co-PI on infrastructure and other grants. Two of the Directors have won the Provost's Award for Outstanding Teaching, and all have experience communicating statistical results to non-statisticians, including collaborative publications and grants. Their experience will be utilized to design experiments and analysis plans, to supervise graduate students performing analysis, and to review written final reports, including the preparation of abstracts, posters, presentations, publications, and grant submissions. For the most in depth analyses, their expertise will be used to either directly handle the consulting request or refer the request out of the ASL to a suitable faculty member in the departments of Statistics and Biostatistics. These types of referrals, involving complicated requests, often lead to interdisciplinary grant submissions and sustained research collaborations.

How can you use the ASL? You may submit a consultation request through the ASL website. Standard analyses will be supervised by faculty directors (or perhaps the affiliated faculty depending on the research area), while faculty directors will take an active role in more complex analyses. Other faculty members in the Department of Statistics and Biostatistics may also be enlisted in these analyses, encouraging the development of collaborative grant applications and sustained research collaborations. The faculty members of these departments have expertise in the full array of statistical methods, such as quality control, survival analysis, social science methods, multivariate methods, spatial statistics, nonparametric statistics, experimental design, Bayesian methods, computational statistics, phylogenetics, bioinformatics, and clinical trials.

For more information, please contact Candace Brancato at ASL@uky.edu

How much does it cost you? The ASL will function as a restricted "free access" statistical lab where faculty and graduate students can seek help with data analysis, statistical computing, and experimental design. These activities will be funded by the Department of Statistics, colleges, infrastructure grants, and the VPR.

In particular, colleges whose faculty wish to utilize the Laboratory services are asked to provide an appropriate amount of seed funding that will facilitate the handling of a certain capacity of routine requests from their faculty and graduate students. The Laboratory will track support and provide annual usage feedback to the participating colleges and the VPR. However, if the required analysis involves more than routine work, the client may be asked to initiate a direct research collaboration with an identified Statistics or Biostatistics faculty member. If the ASL resources are overwhelmed, an audit will be conducted to determine whether College contributions need to be adjusted to guarantee availability of service, or whether utilization needs to be reduced to a more manageable level.