[ABE-L] Workshop on Categorical Data Analysis, por Alan Agresti, 08 a 10/03/2016, das 9 às 11h e das 14 às 16h, na ESALQ/USP
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Qua Dez 23 11:33:17 -03 2015
> > 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,
> > no
> > Departamento de Ciências Exatas
>
> > da ESALQ/USP, Piracicaba, SP
>
> > .
>
> > Número limitado de vagas. No inicio de janeiro serão encaminhadas
>
> > informações sobre inscrição.
>
> > Feliz Natal a todos e que 2016 seja repleto de realizações.
>
> > 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 .
>
> >
>
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