Departmental Affiliations
Center & Institute Affiliations
Ciprian Crainiceanu, PhD, MS, is a biostatistician who works on complex, high dimensional data obtained from wearable and implantable computing and neuroimaging studies.
Contact Info
Research Interests
Biostatistics; Neuroimaging; Wearable computing; Activity; Sleep; Multiple Sclerosis; Multilevel (hierarchical) Bayesian Inference; MCMC; Longitudinal Modeling; Nonparametric Statistics; Smoothing; Measurement Error
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Experiences & Accomplishments
My research is centered around Statistical methods for new technologies used in public health and medical studies. These technologies provide new types of data that are increasing both in size and complexity. I am interested in developing analytic tools that are tailored to specific applications, address the particular subtleties of the problem, and then find the common thread that eventually becomes Statistical methodology. My current scientific research interest centers around sleep research (EEG, polysomnograms), wearable computing (accelerometers, heart monitors), and multimodality brain imaging (SPECT, MRI, CT) with applications to Alzheimer, Multiple Sclerosis, traumatic brain injury, and cancer. My statistical expertise centers around inferential methods for ultra high dimensional data, mixed effects modeling, Bayesian inference, and smoothing.
Honors & Awards
Please see my CV for more details
Select Publications
Selection of recent papers
Measurement Error in Nonlinear Models (with R.J. Carroll, D. Ruppert, L.A. Stefanski), Second Edition, 2006
The upstrap. Crainiceanu CM, Crainiceanu A. Biostatistics. 2018
Neuroconductor: an R platform for medical imaging analysis. Muschelli J, Gherman A, Fortin JP, Avants B, Whitcher B, Clayden JD, Caffo BS, Crainiceanu CM. Biostatistics. 2018