Last updated: 15 December 2010
2010 Italian Stata Users Group meeting
Thursday, 11 November 2010
Grand Hotel Majestic giá Baglioni
Via Indipendenza, 8
40121 Bologna
Italy
Proceedings
Extracting results from nonlinear models
Maarten Buis
Institut für Soziologie Eberhard Karls Universität Tübingen
In this presentation, I discuss a variety of ways in which you can interpret
the results obtained from nonlinear models (e.g.,
logit,
probit,
poisson, and
streg) and how these different
ways of interpreting results are related. I pay particular attention
to 1) the difference between average predictions or
marginal effects and predictions or marginal effects for
an individual with average characteristics; 2) the different ways in which
interaction effects can be interpreted; and 3) the difficulties in giving an
causal interpretation to effects in nonlinear models.
Additional information
buis_sug.pdf
Multilevel regression and poststratification in Stata
Maurizio Pisati and Valeria Glorloso
Università di Milano-Bicocca
Abstract not available.
Additional information
pisati_sug.pdf
Anova-type consistent estimators of variance components in umbalanced multiway error compnents models
Giovanni Bruno
Università Bocconi
Abstract not available.
Additional information
bruno_sug.pdf
Estimating partial effects using margins in Stata 11
David Drukker
StataCorp LP
This session introduces the use of the
margins command to estimate
the partial effects at the mean and the mean of the partial effects. Both
the Stata syntax and the underlying statistical methods will be discussed.
The presentation will also include some discussion of factor variables.
Additional information
drukker_sug.pdf
Multiple imputation in Stata
Bill Rising
StataCorp LP
Multiple imputation is a method for trying to retrieve power lost by missing
values in a dataset. In this session, I will demonstrate how the suite
of
mi commands introduced in Stata 11 can be used to impute data,
estimate models, and pool results, as well as manage various forms of
multiply imputed datasets.
Additional information
rising_sug.pdf
M statistic commands: Interpoint distance distribution analysis
Pietro Tebaldi and Marco Bonetti
Università Commerciale L. Bocconi, Milano
Marcello Pagano
Harvard University
Abstract not available.
Additional information
tebaldi_sug.pdf
tebaldi_files.zip
Tabula, what you see is what you tabulate
Giovanni Luca Lo Magno
Unversità degli Studi di Palermo
Abstract not available.
Additional information
magno_sug.pdf
tabulasetup_0_3_beta.exe
Wishes and grumbles
Bill Rising
StataCorp LP
The “Wishes and grumbles” session offers participants the
opportunity to interact directly with StataCorp. You can highlight problems
or limitations of the software and suggest improvements or new commands that
possibly could be included in the next version of Stata.
Scientific organizers
Una-Louise Bell, TStat S.r.l.
[email protected]
Rino Bellocco, Karolinska Institutet
[email protected]
Giovanni Capelli, Università degli Studi di Cassino
[email protected]
Marcello Pagano, Harvard School of Public Health
[email protected]
Maurizio Pisati, Università degli Studi di Milano–Bicocca
[email protected]
Logistics organizers
TStat S.r.l, the official distributor
of Stata in Italy.
