Category Archives: Uncategorized

Directed and undirected networks have been used to describe all sorts of phenomena. There are several approaches to modeling network graphs.  Some take a model based approach and others appeal to directed graph methods.  An excellent jumping off point is … Continue reading →

Software development efforts at Tufts School of Medicine is addressing Meta Analysis needs with a free PC based Windows program known as MetaAnalyst. Their program provides several models for discrete, continuous and diagnostic data. MetaAnalyst also integrates BUGS for Bayesian … Continue reading →

This new toolbox product was recently added and made a default part of the Matlab suite in the latest version; a good reason to upgrade!

Complex multilevel designs present additional statistical issues when it comes to addressing suitable sample sizes. OD is a software tool that address many of these issues for simple and complex multilevel designs. It seems very useful for planning and reviewing … Continue reading →

Very often a new research design is confronted with the question of how much data do I need…? Power Analysis software is widely available to address many of the standard fixed sample size solutions to this question and its many … Continue reading →

After surveying departmental chairs at the Tufts Medical School and Sackler School of Graduate Biomedical Sciences, UIT has purchased the licensing of the SAS Genetics module as an add-on to the SAS Educational Analytic Suite software bundle that Tufts renews … Continue reading →

Systat has been a full feature stats package for some time and has a relationship with Spss. One of it’s sub- products is called SigmaPlot. If you only need access to a wide variety of easy to access graphics and … Continue reading →

Statistical spatial analysis methods are evolving at a rapid rate as a result of increased active basic research and new journals promoting such methods in applied settings. One such journal is the Journal of Agricultural, Biological, and Environmental Statistics. An … Continue reading →

Multilevel models are finding widespread use in many social science settings. The traditional settings have been developed in the statistical mixed model setting. Extensions to non normal models are also finding useful applications. These models are typically expressed as a … Continue reading →

Like many universities, Tufts has a subscription membership to the ICPSR. Over the years, a typical use case would be for a researcher to download data for local analysis. In this way one would have maximal access to raw data … Continue reading →