Statistical Analysis Expertise

I have included the references below to help you get a feel for the type of statistical analysis projects I have worked on in academic settings. The following examples required expertise in multiple statistical analysis methodologies, algorithm development, data analysis techniques, technical grant writing, and peer review article publication.

Samuel R. Friedman – supervisor at NDRI for a decade. I worked with Sam and his colleagues on several large grants to advise, develop and apply statistical data analysis techniques to the grant writing process. Specific data analysis techniques applied include: OLS regression, logistic regression, multinomial logistic regression, ordinal logistic regression, factor analysis, cluster analysis, hierarchical linear models, power analysis, box plots, strip plots, dot plots, mosaic plots, scatterplots. Together we published many peer-reviewed articles.

Leslie Prichep – was my supervisor at BrainScope. I worked with Leslie to develop data analysis techniques to support here research. Careful application of  logistic regression, discriminant analysis, genetic algorithms, box plots and classification trees helped distinguish people with various conditions on the basis of electroencephalographic data.

Anjali Sharma – At SUNY Downstate, some of my most involved work has been with  Anjali analyzing data about epilepsy. In addition to logistic regression we used OLS regression and hierarchical linear models to support and advance Anjali’s research.

Agnes Perenyi - Collegue at SUNY downstate who I worked with on research data about neonatology. I helped Agnes implement a combination of fundamental statistical analysis techniques as well as ANOVA and chi-square.