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DMA Analytics Council
Logistic Regression, Model Building and Classification
March 26, 2008
8:30 AM - 4:00 PM
DMA Seminar Center, New York City

In this resourceful, day-long seminar, you will be briefed on logistic regression with attention to model building, pitfalls and problems in applied settings, as well as classification issues and consequent decision making for marketing programs.

After the close of the session, you will learn:

1.) Basics of logistic regression for response modeling
2.) The essentials of odds and probability
3.) Potential pitfalls in model building
4.) Present methods of model building
5.) Different ways to measure model potential and comparison

Speaker: Leonardo Auslender

Leonardo Auslender is a statistician and economist with more than 25 years of business experience and SAS expertise, at present in the Data Mining Research and Development group of SAS Institute. His area of expertise is in the area of Giga-Data Analysis and Methods. He has written papers and given lectures on Missing Value Imputation, Classification Trees, Support Vector Machines, Market-Basket Analysis, Variable Selection in Giga-Bases, Database Marketing, CRM, GDP and Inflation studies (Relative Price), Expectations Formations, Productivity and Technology effects in the economy, and most recently on Colinearity and malaise in linear modeling. He was a lecturer of Finance and Macroeconomics at Rutgers University. His present interests are in the area of variable selection, Bayesian networks, and Bayesian and Tree methods.

Registration Rates

Analytics Council Member: $49
DMA Member: $149
Non-Member: $399

Onsite registrants will incur an additional $10 registration fee.

Membership Offer: * When registering for this event, DMA Members will receive a FREE one year Analytics Council membership. This offer is not available to prior or current Analytics Council members and is only valid for the first year of Council membership. Membership must be renewed annually.

Ways to Register

Online: Register Now
Fax: 212.302.7643
Phone: 212.790.1500
Mail: Printable Form
DMA Customer Service
1120 Avenue of the Americas
New York, NY 10036-6700
(Check payable to DMA)

For questions/inquiries, call DMA Customer Service at 212.790.1500 or e-mail customerservice@the-dma.org.

Payment Policy and Confirmation

In order to confirm your place in this event, we require payment in full. From time to time, we change a date or location of an event. If we need to change a date or location for any reason, you will be contacted. If you have not received confirmation of your attendance from DMA, please call 212.790.1500 to ensure your seat.

Cancellation Policy

If you cannot attend an event for which you are registered, please send a substitute. Substitutions are allowed at any time.

If you cannot send a substitute, please contact DMA Customer Service prior to the event to have your registration fee held on account for a future event. If you must cancel your registration altogether, please refer to the Cancellation Refund Schedule below. Registrants who do not cancel or arrange to have their registration fee held on account prior to the event, and fail to attend the event, forfeit their full registration fee in its entirety.

If DMA cancels the event for which you have registered, the registration fee paid will be held on account for a future event or fully refunded if you prefer. DMA is not responsible for any expenses incurred by you as a result of your registration, whether the event was attended, postponed, or canceled.

Cancellation Refund Schedule
March 20, 2008 or before 100% refund or account credit
March 21, 2008 - March, 25, 2008 Account credit
March 26, 2008 No refund – no account credit

DMA Money-Back Guarantee

You will be 100% satisfied with what you learn or we will refund your registration fee in full.* We can afford to make this offer because we know that this seminar will exceed your expectations. It's part of our commitment to providing you with the highest possible quality in education and training.

*Requires written request within 30 days of the seminar.

 

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