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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


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

Multilevel regression and poststratification in Stata

Maurizio Pisati and Valeria Glorloso
Università di Milano-Bicocca
Abstract not available.

Additional information

Anova-type consistent estimators of variance components in umbalanced multiway error compnents models

Giovanni Bruno
Università Bocconi
Abstract not available.

Additional information

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

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.

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M statistic commands: Interpoint distance distribution analysis

Pietro Tebaldi and Marco Bonetti
Università Commerciale L. Bocconi, Milano
Marcello Pagano
Harvard University
Abstract not available.

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Tabula, what you see is what you tabulate

Giovanni Luca Lo Magno
Unversità degli Studi di Palermo
Abstract not available.

Additional information

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.