Research Interests: Leveraging statistical consulting expertise to teach statistics to medical students, residents, fellows and staff at Cleveland Clinic; improving statistics education for nonstatisticians in the health sciences as well as experimental and observational study design and modeling
Nancy A. Obuchowski PhD
(Joint appointment with Department of Diagnostic Radiology in the Imaging Institute)
Research Interests: My general research interest focuses on statistical methodological issues arise in clinical outcome studies involving diseases related to Heart. I have been collaborating with Clinical investigators from the Cleveland Clinic’s Heart & Vascular Institute since 2001. My statistical area of interests are generalized linear and non-linear mixed effects modeling, longitudinal and time to event modeling using multiphase models, and Joint modeling of longitudinal and time to event data. I also serve as a Deputy Statistical Editor and as an editorial board member of Journal of Thoracic and Cardiovascular Surgery.
Research Interests: High-Throughput Genomic Data Analysis and Computing; Sequence Alignment; Bioinformatics Pipeline Design; SNP analysis; Electronic Health Record; Data Integration; Database; Network Analysis; Cluster Analysis; Analysis of Time Series Data; Machine Learning; Deep Learning; Bayesian Analysis; Image Signal Processing
Research Interests: Statistics; health services research; epidemiology; quality of care; organ transplantation; end-stage organ disease; kidney disease; renal transplantation; healthcare provider performance;
Research Interests: decision analysis; cost-effectiveness analysis; behavioral economics of health; pharmacoeconomics; allocative efficiency; health technology/decision systems assessment; cost of illness/economic burden of illness; indirect costs of healthcare interventions
Research Interests: Clinical Machine Learning Models; Healthcare Big Data Analytics; Quantitative Image Data Analysis; Bayesian Inferences with Gaussian Markov Random Field Models; Measurement Error Models; Bioinformatics