Professional References
Statistical Analysis Expertise
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 peerreviewed 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 chisquare."
Featured Posts

The average, or mean, is one of the simplest statistics there is. You have a bunch of numbers, you add them...

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These are the slides for a talk at New York Area SAS Users' Group on June 2, 2011.

Most generally, a dependent variable (DV) is something which we think depends on one or more independent...

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