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'Modelling Ordinal Categorical Data' -  (27.06.2012 - 28.06.2012 )

When:
27.06.2012 - 28.06.2012 
Where:
Manor Road Building -
Category:
Departmental Events
Website:
http://springschool.politics.ox.ac.uk/courses/index.asp
Affilation:
Oxford Spring School in Quantitative Methods for Social ResearchCentre for Research Methods in the Social Sciences
Speaker:
Alan Agresti (University of Florida)

Description

This Oxford Spring School short course will explore methods for analyzing categorical response variables that have a natural ordering of the categories.  Such data often occur in the social sciences (e.g., for measuring attitudes and opinions) and in medical and public health disciplines (e.g., pain, quality of life, severity of a condition). 

Topics to be covered include ordinal odds ratios and association measures for contingency tables, logistic regression models using cumulative logits, other ordinal logistic regression models (adjacent-categories logits, continuation-ratio logits, partial proportional odds, non-proportional odds), other multinomial response models (cumulative probit, log-log), and marginal models and random effects models for clustered ordinal responses and count data.  Examples in the course notes use R, Stata and SAS, and references will be given for SPSS procedures.  The presentation emphasizes interpretation of the methods rather than technical details, with examples including randomized clinical trials and social surveys such as the General Social Survey. 

Attendees are expected to have some familiarity with basic methods of categorical data analysis, including logistic regression models and chi-squared tests.

For the draft programme please see here.

 

Alan Agresti is Distinguished Professor Emeritus, Department of Statistics, University of Florida. He has written more than 100 articles and six books, including "Categorical Data Analysis," which has received more than 12,000 citations in journal articles. He received an Honorary Doctor of Science from De Montfort University in 1999, the Statistician of the Year Award from the Chicago chapter of the American Statistical Association in 2003, and the first Herman Callaert Leadership Award in Statistical Education and Dissemination from Hasselt University, Belgium in 2004.  He has lectured on categorical data methods in more than 30 countries. The lectures for this course will follow Professor Agresti's book 'Analysis of Ordinal Categorical Data' (2nd ed., Wiley, 2010).

 

**Registration for this event has now closed**

For more information, please see here.

Alan Agresti is Distinguished Professor Emeritus, Department of Statistics, University of Florida. He has written more than 100 articles and six books, including "Categorical Data Analysis," which has received more than 12,000 citations in journal articles.

 

He received an Honorary Doctor of Science from De Montfort University in 1999, the Statistician of the Year Award from the Chicago chapter of the American Statistical Association in 2003, and the first Herman Callaert Leadership Award in Statistical Education and Dissemination from Hasselt University, Belgium in 2004.  He has lectured on categorical data methods in more than 30 countries.

Venue

Venue:
Manor Road Building
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