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Research

Statisticians

Dr. Ying provides support in the following areas:

• As a statistician, he works with principle investigators from the Department of Radiology to develop research proposals for external funding. Specifically, he develops and implements:
  • Study design methods to ensure they address research aims and hypotheses properly and effectively;
  • Data collection and management plans to ensure all information related to studies will be collected and handled appropriately with high quality;
  • Analytical plans using various statistical models to address research aims and hypotheses; and
  • Power analyses and justify sample size proposed in the research plans.
• He provides consultation to faculty members, fellows and residents to address specific needs regarding study design and data analysis methods.
• He is available to serve as a research committee member and/or a reviewer to review internal research proposals funded and supported by the Department to ensure the analytical plans are solid and the sample sizes (or resources) are justifiable.

Mr. Meganathan works with Dr. Ying to provide the following research services:

• Develop and implement data analyses plans for ongoing projects in Radiology;
• Assistance in integrating, inspecting and cleaning data to ensure variables are well defined, observations are properly arranged, missing values and outliers are identified and corrected whenever possible in the dataset.
• Perform statistical analyses using appropriate software and procedures to ensure reliable results.
• Summarize findings and results into tables, figures, and other presentable methods and report and interpret findings with investigators in the projects.
• As co-authors, they will write specific analytical plans and interpretable results in abstracts submitted to conference meetings and in manuscripts submitted to professional journals.
• As co-authors, they will be responsible for replying to reviewer’s comments, and providing implemented and revised analyses if necessary in resubmission.

Dr. Jun Ying is an associate research professor in the Department of Public Health Science and an experienced biostatistician in medical research. He is currently serving as collaborator/biostatistician in several NIH funded grants with researchers in children’s Rheumatology, Neurology, and Pathology. In addition to his role for the Department of Radiology, he is a lead statistician internally in several departments/divisions in the College of Medicine including Department of Radiology, Department of Internal Medicine, and Division of Hematology; and at Drake Center. Since 2007 when Dr. Ying started his role in the Department of Radiology, he has worked with faculty members in the Department in several studies that have led to publication of 4 manuscripts in Radiology journals. He also helped and coauthored several abstracts presented in RSNA and other Radiology conference meetings. Dr. Ying has been working with Dr. Weiss and other researchers in Radiology to develop and submit several proposals applying for NIH funding and/or other funding sources. In 2007 - 2008, he served as a member of Scientific Advisory Committee in Radiology to develop a strategy plan of research in the Department.

Mr. Karthikeyan Meganathan earned a BSc in statistics from Loyola College, Chennai, India in followed by a MS in applied statistics from Bowling Green State University, Ohio. He had a brief stint as an instructor at Bowling Green State University, where he taught undergraduate statistics and operations research courses. Following this he served as a biostatistician at the Center for Statistical Sciences at Brown University, Rhode Island, where he gained experience in the collection, management, reporting and statistical analysis of data from three clinical trials funded by the National Cancer Institute and managed by the American College of Radiology Imaging Network, a cooperative group that specializes in clinical trials evaluating new medical imaging technology. He joined the Department of Public Health Sciences in 2006 as a research associate - data analyst. He has provided data analysis support in several clinical and population-based research projects. His experiences include analyses using the statistical packages SAS and SPSS and data collection using Microsoft Access and Acrobat Forms.