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