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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.
Website:
www.statisticalinnovations.com/workshops/workshops.html
Dates: October 17-21, 2011
Location:
Holiday Inn Boston at Beacon Hill, 5 Blossom St, Boston, MA 02114 US
Who Should Attend: Marketing, biomedical and other researchers who want to improve their understanding of regression model development in the presence of many correlated predictors.
Course 1: Key Driver Regression in Practice: Challenges and New Solutions
Dates: October 17-18, 2011
Taught by: Nicole Kramer, Tony Babinec & Jay Magidson
Cost: $1,490
This new 2-day course addresses analysis of high-dimensional data with both penalty-based as well as new component-based approaches. We use real and simulated data sets to illustrate the different approaches with XLSTAT, SPSS, CORExpress and various R packages.
Course 2: Latent Class and Finite Mixture Modeling
Dates: October 19-20, 2011
Taught by: Jay Magidson and Tony Babinec
Cost: $1,490
This 2-day course will introduce latent class (LC) modeling and various applications using Latent GOLD, the #1 package for LC and finite mixture models.
Course 3: Applications of Latent Class Models with Discrete Choice, MaxDiff, and Rankings Data
Date: October 21, 2011
Taught by: Jay Magidson and Gary Bennett
Cost: $895
This 1-day course will introduce different types of discrete choice analysis and illustrates basic and advanced applications using the new XLSTAT-Conjoint module and Latent GOLD Choice. The workshops provide a unique opportunity to learn new applications and improve existing ones.
For further information on XLSTAT-Conjoint, LG Choice, and/or CORExpress,
please contact me at will@statisticalinnovations.com