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 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."
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This is a talk developed by David Cassell and me, and given at NESUG and SGF and WUSS
When learning statistics, you may learn about ANOVA (analysis of variance), ANCOVA (analysis of covariance)...
[latexpage] In regression models of various kinds (e.g.In statistics and research design, there are two types of study: Experiments and observational studies. Some...Part of the default output from PROC LOGISTIC is a table that has entries including`percent concordant' and...When we have quantitative data, one thing we often want to know is where the center is, and, for that, we can...Whenever you run a SAS program, you should look at the log file. In fact, I have set up keys on my SAS...People often transform their variables. There are two sorts of transformation: One is to simply multiply all...These are the slides for a talk at New York Area SAS Users' Group on June 2, 2011.Today, I will discuss ease of learning. Unlike the earlier post (and, I hope, most of the ones to come) this...We very often set the cutoff for a significant p value at 0.05, and minimal acceptable power at 0.8....In many substantive fields, students take one, two, or perhaps three statistical courses during graduate...