I am a Biostatistician with over 15 years of experience with the analysis and interpretation of data from biomedical and epidemiological studies. I have collaborated widely with basic scientists, clinicians and epidemiologists in cancer, psychiatry, ophthalmology, and rehabilitation medicine, among many specialties. My collaborative work has included special interest in outcome prediction using biomarkers in cancer and tracking of depression measures in psychiatry. My statistical methodological interests are focused mainly in the area of latent class, latent variable, and structural equation models. 

My statistical methodological work has been in the area of identification of subgroups using latent class models for longitudinal data. These methods are useful when multiple longitudinal outcomes of possibly varying types are needed to adequately characterize the effect of a treatment and it is of interest to identify the subset of patients for whom the treatment is effective.

I have collaborated with Dr. Ralph Marino on questions surrounding measurement of upper-limb function and observational studies of change in function over time. The question of how to measure change in function in patients with spinal cord injury is still unresolved. Dr. Marino has developed a task-based test called the capabilities of upper extremity test (CUE-T) to attempt to quantify upper-limb function in these patients. We have demonstrated reliability and validity of this instrument and are currently assessing its sensitivity to change. We have also worked together to analyze data from large databases of spinal cord injury patients to evaluate the natural course of progression under current treatment methods and identify potential predictors of recovery.