Last updated: 23 December 2011
2011 Italian Stata Users Group meeting
Thursday, 17 November 2011
Isola di San Servolo
Venice, Italy
Proceedings
Estimating the parameters of simultaneous-equations models with
the sem command in Stata 12
David M. Drukker
StataCorp
This session serves as an introduction to Stata 12’s new
sem command for estimating the parameters of
simultaneous-equations models. Some of the considered models include
unobserved factors. Estimation methods include maximum likelihood and
generalized method of moments.
Materials
italy11_drukker.pdf
Funnelcompar: diagrammi a imbuto per la comparazione
di performance sanitarie con aggiustamento per comparazioni multiple
Silvia Forni and Rosa Gini
Agenzia Regionale di Sanità della Toscana
Goodness-of-fit tests for categorical data: Comparing Stata,
R, and SAS
Rino Bellocco and Sara Algeri
Università di Milano—Bicocca
ivtreatreg: A new Stata command for estimating binary treatment
models with heterogeneous response to treatment under observable and unobservable
selection
Giovanni Cerulli
CERIS—CNR, Roma
sar: Automatic generation of statistical reports using Stata and
Microsoft Word for Windows
Giovanni L. Lo Magno
Università degli studi di Palermo
Chained equations and more in multiple imputation in Stata 12
Yulia Marchenko
StataCorp
This session focuses on the new Stata 12 command,
mi impute chained,
to perform multivariate imputation using chained equations (ICE), also known
as sequential regression imputation. ICE is a flexible imputation technique
for imputing various types of data. The variable-by-variable specification
of ICE allows the user to impute variables of different types by choosing
the appropriate method for each variable from several univariate imputation
methods. Variables can have an arbitrary missingdata pattern. By specifying
a separate model for each variable, users are able to incorporate a number
of important characteristics, such as ranges and restrictions within a
subset, specific to each variable. Other new features in multiple imputation
in Stata 12 will also be discussed.
Materials
italy11_marchenko.pdf
Sequential logit models: Transition probabilities among nonalcoholic
fatty liver disease (NAFLD) stages in a random sample population-based study from
Southern Italy
Alberto Osella
IRCCS Saverio de Bellis
María Del Pilar Díaz
Universidad Nacional de Córdoba, Argentina
Evaluating individual player performance indexes in basketball
with Stata
Giovanni Capelli
Università degli Studi di Cassino
Credit risk management and macroeconomic conditions
Ana-Maria Săndică and Alexie Ciprian Alupoaiei
Academy of Economic Studies—Bucharest
Wishes and grumbles
David Drukker
StataCorp
The “Wishes and grumbles” session offers participants the
opportunity to highlight any problems or limitations of the software
for the members of StataCorp attending the meeting, and to suggest
possible improvements.
Logistics organizers
TStat S.r.l, the official distributor
of Stata in Italy.
