[ABE-L] Seminário Alan Agresti, dia 25/04 - 14h

[Clarice Garcia Borges Demetrio]

Prezados, boa tarde.

Nesta quinta-feira,* 25/04, às 14h no Laboratório A*, teremos o seminário
do Prof *Alan Agresti*, professor emérito da Universidade da Flórida.
Seguem as informações:

*Title:* Simple Ways to Interpret Effects in Modeling Binary and Ordinal
Data

*Abstract*: Probability-based effect measures for models for binary and
ordinal response variables can be simpler to interpret than logistic (and
probit) regression model parameters and their corresponding effect
measures, such as odds ratios.  For describing the effect of an explanatory
variable while adjusting for others in modeling a binary response, it is
sometimes possible to employ the identity and log link functions to
generate simple effect measures.  When such link functions are
inappropriate, one can still construct analogous effect measures from a
logistic regression model fit, based on average differences or ratios of
the probability modeled or on average instantaneous rates of change for the
probability.  Simple measures are also proposed for interpreting effects in
models for ordinal responses based on applying a link function to
cumulative probabilities.  The measures are also sometimes applicable with
nonlinear predictors, such as in generalized additive models.  The methods
are illustrated with examples and implemented with R software.  Parts of
this work were joint with Claudia Tarantola of the University of Pavia and
Roberta Varriale of La Sapienza University in Italy, and appeared in
"Trends and Challenges in Categorical Data Analysis," edited by Maria
Kateri and Irini Moustaki (Springer, 2023).

Contamos com a participação de todos.

*Os interessados no link podem nos solicitar na quarta-feira.*
Atenciosamente,
Clarice, Cristian e Renata
-------------- Próxima Parte ----------
Um anexo em HTML foi limpo...
URL: <http://lists.ime.usp.br/pipermail/abe/attachments/20240422/ae77f54d/attachment.htm>