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  Welcome to Statistical Innovations Inc.


Job Opening

We are seeking a self-motivated individual to serve as the Technical Marketer. Working closely with the president, this individual’s workflow will be primarily dedicated to B2B software marketing efforts, including software sales, customer support, product development, and digital market copy for the company website and email marketing communications. This position will also include some data analysis support on high profile consulting projects. The successful candidate will have excellent communication and marketing skills – with a good analytical/technical background a plus.

Apply Today

       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
Correlated Component Regression

       Online Courses
Latent Class Modeling (Updated!)

Key Driver Regression with
Many Correlated Predictors
       Workshops
Statistical Modeling Week
       Team Training
Personalized On-site Training

Events


       October, 2014 -- Online Course: Introduction to Latent Class Modeling

Introduction to Latent Class Modeling

Online Course, October 10 - November 27, 2014

Taught by: Jay Magidson, Statistical Innovations Inc.

Course Overview: Statistical Innovations is pleased to announce an updated online course on Latent Class Modeling which includes important features from the new release of Latent GOLD (version 5.0) particularly useful in scoring new cases. Via lecture notes, examples, and computer exercises, this course introduces a demo version of Latent GOLD version 5.0. Initial lessons focus on model fitting strategies and the interpretation of output. Subsequent lessons consider several advanced topics including identification issues, problems caused by data sparseness, use of bivariate residuals and repeated observations, with hands-on exercises and special problem sets not available anywhere else.

There are no scheduled log-in times. The flexible course structure allows you to participate on your own schedule!

Register Today!

       June, 2014 -- Online Course: Introduction to Latent Class Modeling

Introduction to Latent Class Modeling

Online Course, May 30 - June 27, 2014

Taught by: Jay Magidson, Statistical Innovations Inc.

Course Overview: Statistical Innovations is pleased to announce an updated online course on Latent Class Modeling which includes important features from the new release of Latent GOLD (version 5.0) particularly useful in scoring new cases. Via lecture notes, examples, and computer exercises, this course introduces a demo version of Latent GOLD version 5.0. Initial lessons focus on model fitting strategies and the interpretation of output. Subsequent lessons consider several advanced topics including identification issues, problems caused by data sparseness, use of bivariate residuals and repeated observations, with hands-on exercises and special problem sets not available anywhere else.

There are no scheduled log-in times. The flexible course structure allows you to participate on your own schedule!

Register Today!

       December, 2013 -- New book on Big Data / High Dimensional data analysis now available!

       January, 2014 -- Online Course: Introduction to Latent Class Modeling

Introduction to Latent Class Modeling

Online Course, January 10 - February 7, 2014

Taught by: Jay Magidson, Statistical Innovations Inc.

Course Overview: Statistical Innovations is pleased to announce an updated online course on Latent Class Modeling which includes important features from the new release of Latent GOLD (version 5.0) particularly useful in scoring new cases. Via lecture notes, examples, and computer exercises, this course introduces a demo version of Latent GOLD version 5.0. Initial lessons focus on model fitting strategies and the interpretation of output. Subsequent lessons consider several advanced topics including identification issues, problems caused by data sparseness, use of bivariate residuals and repeated observations, with hands-on exercises and special problem sets not available anywhere else.

There are no scheduled log-in times. The flexible course structure allows you to participate on your own schedule!

Register Today!

       August 2-7, 2014-- Half Day Course on Big Data Analysis at Joint Statistical Meetings in Boston

Taught by: Jay Magidson and Tony Babinec

Course Overview: 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 begin by reviewing problems and limitations with traditional linear and logistic regression. We then introduce the 2 primary regularization approaches for analyzing such data – penalized regression and component methods, related software, and also introduce 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 by providing an overview of the relevant theory, supplemented by the supporting equations. We use real and simulated data sets to illustrate the different methods.

Learn More

       July, 2013-- Latent GOLD version 5.0 Now Available!

New! Statistical Innovations is proud to announce a major new release of Latent GOLD®. Version 5.0 is much faster (multiple processor support) and includes many exciting new features. This is our first major upgrade since 2008! Upgrade today!

Learn More

       July, 2013 -- Updated Online Course: Introduction to Latent Class Modeling

Introduction to Latent Class Modeling

Online Course, July 5 - August 2, 2013

Taught by: Jay Magidson, Statistical Innovations Inc.

Course Overview: Statistical Innovations is pleased to announce an updated online course on Latent Class Modeling which includes important features from the next release of Latent GOLD (version 5.0) particularly useful in scoring new cases. Via lecture notes, examples, and computer exercises, this course introduces a pre-release demo version of Latent GOLD version 5.0. Initial lessons focus on model fitting strategies and the interpretation of output. Subsequent lessons consider several advanced topics including identification issues, problems caused by data sparseness, use of bivariate residuals and repeated observations, with hands-on exercises and special problem sets not available anywhere else.

There are no scheduled log-in times. The flexible course structure allows you to study on your own schedule!

Register Today!

       June 9-12, 2013 -- 2013 ART Forum, Chicago, IL

       See our exhibit at the 2013 ART Forum



       May, 2013 -- Modern Modeling Methods Conference

2013 M3 Conference

May 21-22, 2013
Storrs, CT

Workshop: Jay Magidson, Statistical Innovations Inc.
Using Mixture Latent Markov Models for Analyzing Change with Longitudinal Data

Conference Overview: The Modern Modeling Methods (M3) conference is an interdisciplinary conference designed to showcase the latest modeling methods and to present research related to these methodologies.


       February, 2013 -- Updated Online Course: Introduction to Latent Class Modeling

Introduction to Latent Class Modeling

Online Course, February 1 - March 1, 2013

Taught by: Jay Magidson, Statistical Innovations Inc.

Course Overview: Statistical Innovations is pleased to announce an updated online course on Latent Class Modeling which includes important features from the next release of Latent GOLD (version 5.0) particularly useful in scoring new cases. Via lecture notes, examples, and computer exercises, this course introduces a pre-release demo version of Latent GOLD version 5.0. Initial lessons focus on model fitting strategies and the interpretation of output. Subsequent lessons consider several advanced topics including identification issues, problems caused by data sparseness, use of bivariate residuals and repeated observations, with hands-on exercises and special problem sets not available anywhere else.


Register Today!

       October 24-26, 2012 -- Workshops

Statistical Modeling Week
October 24-26, 2012
Boston, MA USA

Taught by:
Jay Magidson, Statistical Innovations Inc.
Tony Babinec, AB Analytics
Gary Bennett, Logit Research


Overview: Statistical Modeling Week is an annual conference sponsored by Statistical Innovations Inc., featuring applications-oriented seminars focusing on the latest trends in statistical analysis. Led by a group of experts in the field, the seminars teach professionals how to apply and understand today's major breakthroughs in statistical methodology.

Whether you work in marketing, advertising, health, econometrics or evaluation, you will learn to apply these important breakthroughs to your everyday work. And you'll learn more than the techniques - you'll learn the theories behind them.

Courses:

  • Latent Class and Finite Mixture Modeling (Oct. 24-25)
  • Applications of Latent Class Models with Discrete Choice, MaxDiff, and Rankings Data (Oct. 26)


Register Today!

       June, 2012 -- Updated Online Course: Introduction to Latent Class Modeling

Introduction to Latent Class Modeling

Online Course, June 1 - June 29, 2012

Taught by: Jay Magidson, Statistical Innovations Inc.

Course Overview: Statistical Innovations is pleased to announce an updated online course on Latent Class Modeling which includes important features from the next release of Latent GOLD (version 5.0) particularly useful in scoring new cases. Via lecture notes, examples, and computer exercises, this course introduces a pre-release demo version of Latent GOLD version 5.0. Initial lessons focus on model fitting strategies and the interpretation of output. Subsequent lessons consider several advanced topics including identification issues, problems caused by data sparseness, use of bivariate residuals and repeated observations, with hands-on exercises and special problem sets not available anywhere else.


Register Today!

       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