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  Welcome to Statistical Innovations Inc.

       Latent Class Modeling
Latent GOLD®
LG Choice
LG-Syntax
       Correlated Component Regression
CORExpress®
XLSTAT-CCR (CORExpress "Light")
       Tree Based Analysis
SI-CHAID®
       Ordinal Logistic Regression
GOLDMineR®
       Complete Excel Statistics Package
XLSTAT
       Services
A partial list of companies for which we developed successful models:
  • AC Nielsen
  • Blue Cross Blue Shield Assn.
  • Pfizer
  • TD Bank

Short Term / Advisory
       Review Current Models
       Methodological Advice
       Interpreting Output
       Study Design
       Techniques Used
Latent Class Analysis
Maximum Difference Scaling
CHAID Analysis
Discrete Choice
Key Driver Analysis

Recent News

       February, 2012 -- Short Course Featuring CORExpress and XLSTAT-CCR

2012 American Statistical Association Conference on Statistical Practice

Short Course, Thursday, February 16, 8:30 a.m.-5:30 p.m:
Regression Modeling with Many Correlated Predictors: High-Dimensional Data Analysis in Practice
Taught by: Jay Magidson, Statistical Innovations Inc. & Tony Babinec, AB Analytics

Abstract: The availability of a vast amount of data in fields such as genomics, marketing research, and signal processing has led to recent advances in high-dimensional data analysis. It is now possible to develop reliable regression models, even when the number of predictors exceeds the number of cases. In this course, we will begin by reviewing problems and limitations with traditional linear and logistic regression. We will then introduce the two primary regularization approaches for analyzing such data—penalized regression and component methods—related software, and recent advances in feature selection. Our applications-oriented presentation provides insight into how the new approaches work in examples with both low- and high-dimensional data and an overview of the relevant theory, supplemented by supporting equations. We will use real and simulated data sets to illustrate the different methods. The material presented will be included in a forthcoming book on this topic by Jay Magidson.

       May, 2012 -- Correlated Component Regression (CCR) to be featured in next 7th International PLS '12 Conference

PLS'12 7th: International Conference on Partial Least Squares and Related Methods
"Advancing the Theoretical and Applied Frontiers


May 9th-12th, 2012
Houston, TX

Invited Guest Speaker: Jay Magidson, Statistical Innovations Inc.
Correlated Component Regression: Re-thinking Regression in the Presence of Near Multicollinearity

Other invited guest speakers include: George Marcoulides, Harald Martens, Michel Tennenhaus

Conference Overview: The 7th International Conference on Partial Least Squares and Related Methods (PLS 2012) will be held in Houston, Texas on May 9th-12th, 2012. The will be the first time it is hosted in the United States. The conference theme "Advancing the Theoretical and Applied Frontier" is concerned with both theory and exemplars in practice for areas as diverse as Business, Engineering and the Life Sciences. This conference is a unique opportunity for outstanding experts and practitioners in PLS methods, from all over the world, to meet and discuss mutual interests. During the four day meeting, our global attendees reflecting different applied domains will share their state-of-art understanding and advances in the use of PLS methods.

       October, 2011 -- New Online Course Featuring CORExpress and XLSTAT-CCR -- Begins January 13, 2012

Regression Modeling and Classification with Many Correlated Predictors:
Key Driver Regression and Other Applications Using CCR Methods

This course is designed for marketing researchers, biomedical researchers, survey analysts, and anyone who wants to learn the latest tools to develop reliable regression models given the challenges of many correlated predictors that approach or exceed the sample size N (high dimensional data).
  • Our applications-oriented presentation provides insight into how the new approaches work through examples and by providing an overview of the relevant theory, supplemented by the supporting equations.
  • Learn how to estimate regression models using CORExpress® and XLSTAT-CCR
  • Learn how to estimate improved regression models from the comfort of your home or office!

       More Information        Register Today


       October, 2011 -- New XLSTAT Product Line Available from Statistical Innovations!
XLSTAT is a complete Excel® based statistics package featuring:
  • User friendly Excel interface
  • Competitive pricing
  • Powerful add-on modules

       XLSTAT Product Page


       September, 2011 -- Statistical Innovations Announces New Software Partnership with Addinsoft.
Learn More.

 

 
E-mail Contact: will@statisticalinnovations.com
Address: Statistical Innovations, 375 Concord Avenue, Belmont, MA 02478-3084
Phone: +1.617.489.4490
Fax: +1.617.489.4499