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

There is a lot of confusion about parametric vs. nonparametric statistics and tests. Some of the literature...

Question: What makes a good statistician? My answer: Curiosity, persistence, some anal tendencies, a...

In a previous article I looked at how to go wrong with the mean. Today, I will look at a set of alternative...

I'll bootstrap from here to eternity 'Cause that's my statistics fraternity The idea is quite old But it...

This is a talk developed by David Cassell and me, and given at NESUG and SGF and WUSS

This is a paper for NESUG (NorthEast SAS Users' Group) 2010, which you can see as a PDF articleNESUG2010.

BMI, or body mass index, is calculated by dividing by weight by height squared. Specifically, it's weight in...

When you have bivariate data  that is, data on two variables  either or both may be categorical or...

This is a talk that I gave at NDRI. I also gave a version of this talk at Yale and at BrainScope

In an earlier article, we looked at simple linear regression, which involves one independent variable (IV) and...

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

A frequentist fellow named Smith Kept silent (he pleaded the fifth) When the judge inquired Re assumptions...