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

PROC LOGISTIC can be used to run logistic regression on a dichotomous dependent variable. Often, these are...

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

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

I introduced this series the other day. Next up in the list is "getting help". In both SAS and R, there are...

Question: Does the butterfly effect imply that correlation implies causation? My answer: No. The butterfly...

[latexpage] Sometimes we want to compare the spread of a distribution to its mean. This can be useful when we...

When the dependent variable is continuous, we would ordinarily first think of linear regression. It's a very...

Sensitivity and specificity are measures of the effectiveness of a diagnostic test. Most often they are used...

I've designed a great experiment And collected all my data. I've no idea what it all means I'll get to that...

[latexpage] In ordinary regression the model is: $ Y = \beta_0 + \beta_1x_1 + \beta_2_x_2 + .... +...

In a recent article in Sociological Methodology entitled "How to impute interactions, squares, and other...

[latexpage] In regression models of various kinds (e.g.