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2015 RIMI Seminar: Categorical Data Analysis

 Registration is closed for this event
Two-Day Institute on Categorical Data Analysis Topics will Include: • Proportions, estimation, and goodness-of-fit • Association between two categorical variables • Logistic regression with continuous predictors • Logistic regression with categorical predictors • Logistic regression for multi-category outcomes
 
 

CSULB RIMI Project Presents:

A Two-Day Institute on Categorical Data Analysis

June 25 & 26, 2015

9:00 AM - 4:00 PM

 

ORSP Seminar Room - F05, Room 135

                 
Dr. Azen
Presenter:

Dr. Razia Azen, Associate Professor of Educational Statistics & Measurement, Department of Educational Psychology, University of Wisconsin – Milwaukee

Topics:

Proportions, estimation, and goodness-of-fit
Association between two categorical variables
Logistic regression with continuous predictors
Logistic regression with categorical predictors
Logistic regression for multicategory outcomes

Details:

Attendees must bring a laptop computer with statistical software, (SAS is preferred, or SPSS.)
Lunch will be provided. Please indicate dietary restrictions when registering.
A free copy of Dr. Azen's book Categorical Data Analysis for the Behavioral and Social Sciences will be provided to each attendee.
Categorical Data Analysis
 

Please Register on-line at:

www.csulb.edu/HealthEquity | or contact Carol Canjura at carol.canjura@csulb.edu, (562) 985-2179. Printable flyer is attached.

 
 
Funding for this workshop is made possible by award number P20MD003942 from the National Institute on Minority Health and Health Disparities. The views expressed by the speakers do not necessarily reflect the official views of the National Institute on Minority Health and Health Disparities or the National Institutes of Health.
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CSULB Center for Health Equity Research
1205 Bellflower Blvd., F05-Room 120, Long Beach, CA 90815
(562) 985-2179 | www.csulb.edu/HealthEquity
 
 
 
When
June 25th, 2015 9:00 AM   through   June 26th, 2015 4:00 PM
Location
FO5
CA
United States