IU School of Medicine
Susan Perkins, Ph D.
The Biostatistics and Health Data Science Core collaborates with investigators in the planning, statistical design, algorithm development, data management, and analysis of health-related clinical, basic science, and epidemiological research projects. The Core supports the research use of clinical, demographic, molecular, and imaging data as well as data collected from clinical trials and observational studies. We also provide analytical support for dissemination of real-world data from medical claims, electronic health records, social media, and other public resources. Grant development assistance is provided without charge. Study design includes sample size/power calculations, preliminary statistical analysis, and development of data management and statistical analysis plans. The Core is equipped to provide full support for all the data-related activities throughout the stages of a research study, from the design phase through final publications of study outcomes. This includes creation of study specific database management systems for HIPAA aligned data collection, storage and transfer (platforms used: REDCap, OnCore, other), quality control measures, report generation, and randomization and subject scheduling. The Core also employs advanced statistical methods to perform statistical analyses of all types that will speed up the translational research and publications of results.
The Core holds a no-cost weekly walk-in clinic. A biostatistician is available to provide brief consultations on study design, sample size and power calculations, data analysis advice, interpretation of results, and statistical software. If more in-depth (or potentially fee-based) support is needed, a biostatistician will guide you to the appropriate person. Please see the Biostatistics and Health Data Science Department website (https://medicine.iu.edu/departments/biostatistics/services) for time and location.
Study Design input – sample size/power calculations, preliminary statistical analysis, devise appropriate data management plan
Consulting on development and implementation of machine learning and AI algorithms for biomedical data analysis and mining
Create study database management system that include data entry via multiple methods, quality control, report generation, and randomization and subject scheduling
A Ph D. program in Biostatistics, a MS in Biostatistics, and a BS in Health Data Science
- George Eckert : firstname.lastname@example.org (317) 274-2884