[ABE-L] Fwd: Workshop on Categorical Data Analysis, por Alan Agresti, 08 a 10/03/2016, das 9 às 11h e das 14 às 16h -- Inscrições abertas

[clarice.demetrio em usp.br]

> > Caros colegas,
> 
> > Seguem informações sobre o Workshop on Categorical Data Analysis,
> 
> > por Alan Agresti, 08 a 10/03/2016 , das 9 às 11h e das 14 às 16h.
> 
> > Número limitado de vagas.
> 
> >  
> 
> > Inscrições abertas:
> 
> > http://fealq.org.br/informacoes-do-evento/?id=371
> 
> >  
> 
> > Saudações, Clarice
> 
> >  
> 
> > #######################################
> 
> > Categorical Data Analysis
> 

> >        (Three-day course, with 4 hours lecturing each day,
> > following
> > the book
> 
> >        "Categorical Data Analysis," 3rd ed., by Alan Agresti)
> 

> >                                  Abstract
> 

> > This short course surveys the most common methods for analyzing
> 
> > categorical data. The first part of the course focuses on
> > contingency
> 
> > table analysis, logistic regression modeling of binary data, and
> 
> > loglinear models.  The second part introduces logistic models for
> 
> > multi-category ordinal and nominal responses and for clustered data
> 
> > using generalized estimating equations (GEE) and random effects. 
> > The
> 
> > presentation emphasizes interpretation rather than technical
> > details,
> 
> > with examples including social surveys and randomized clinical
> 
> > trials. Examples show the use of R and SAS.
> 

> > Outline timetable (tentative)
> 

> > Day 1
> 

> > Contingency tables, odds ratios, chi-squared tests,
> 
> > Fisher's exact test, logistic regression as a generalized linear
> 
> > model, interpretations, inference using logistic regression
> 

> > Day 2
> 

> > Logistic regression model building, detecting infinite logistic
> 
> > estimates (with remedies), introduction to loglinear models
> 
> > Cochran-Mantel-Haenszel test, sample size and power,
> > baseline-category
> 
> > logit model for nominal data
> 

> > Day 3
> 

> > Cumulative logit model for ordinal data, analyzing correlated
> 
> > categorical data, GEE for marginal models, random effects models
> 

> > Agresti: Short CV
> 

> > Alan Agresti is Distinguished Professor Emeritus, Department of
> 
> > Statistics, University of Florida.  The past seven years he was
> > also
> 
> > visiting professor for half the year at Harvard University.  He has
> 
> > written seven books and more than 200 research articles.  His book
> 
> > `Categorical Data Analysis' (3rd edition, 2013) has received nearly
> 
> > 20,000 citations in journal articles.  Other books include
> > `Analysis
> 
> > of Ordinal Categorical Data' (2nd edition, 2010), `Foundations of
> 
> > Linear and Generalized Linear Models' (2015), `Statistical Methods
> > for
> 
> > the Social Sciences' (5th edition, 2016), and `Statistics: The Art
> > and
> 
> > Science of Learning from Data' (4th edition 2016).  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 Biostatistical Education and
> 
> > Dissemination from Hasselt University, Belgium in 2004.  He has
> > been
> 
> > awarded Fellow designation by both the American Statistical
> 
> > Association and the Institute of Mathematical Statistics.  He has
> 
> > lectured on categorical data methods in more than 30 countries. 
> > For
> 
> > further details, see www.stat.ufl.edu/~aa .
> 

> > _______________________________________________ abe mailing list
> > abe em lists.ime.usp.br https://lists.ime.usp.br/mailman/listinfo/abe
>
-------------- Próxima Parte ----------
Um anexo em HTML foi limpo...
URL: <https://lists.ime.usp.br/archives/abe/attachments/20160215/cf1f20c8/attachment.html>