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Call for presentations

The 18th Italian Stata Conference will take place on 9–10 May 2024 at the Villa la Stella.

Meet researchers from different disciplinary areas, discover new applications highlighting Stata 18’s potential capabilities for applied research, exchange new community-contributed routines developed for Stata, and interact directly with statisticians from StataCorp.

The second day of the conference will be dedicated to a Stata workshop.

Presentation guidelines

The scientific committee is especially interested in presentations about community-contributed commands focused on the following:

  • Data visualization.
  • The connectivity of Stata to external applications such as Python, R, or Java.
  • Advanced automation of user workflows.
  • Reporting tools for the creation of dynamic dashboards or automatic Internet publishing.

Applied research in biostatistics, education, epidemiology, and social and political sciences is also extremely welcome.

For examples of past presentations, view the proceedings page.

Submitting your presentation

If you are interested in presenting, submit your abstract to the scientific committee. Please include a short, informative title and indicate whether you wish to give

  • a 25-minute talk (followed by a 10-minute discussion) or
  • a longer presentation (indicate an estimated presentation time in your email).

Include your name, affiliation, and phone number. If your presentation has multiple authors, please identify the presenter. Selected authors will be contacted by 20 March 2024. The final version of the presentation should be submitted by 25 April 2024.

Selected authors will be contacted by the scientific committee by 29 February 2024. The final version of the presentation should be submitted by 30 April 2024.

Submit abstract

Workshop: Introduction to partial least-squares structural equation modeling (PLS-SEM) using Stata


Sergio Venturini (Università Cattolica del Sacro Cuore–Cremona)
Mehmet Mehmetoglu (Norges teknisk-naturvitenskapelige universitet)

Date & time

10 May 2024


PLS-SEM, also referred to as partial least-squares path modeling, is an alternative approach to SEM that is being increasingly used in social sciences, psychology, business administration, and marketing. PLS-SEM can be viewed as a component-based SEM alternative to the covariance-based structural equation modeling, which can be described as a factor-based SEM technique. As such, the PLS-SEM approach provides researchers with a multivariate statistical technique that can readily be used to fit exploratory and complex SEM models. Although there are several stand-alone specialized PLS-SEM software packages available, this course introduces participants to the PLS-SEM methodology through the community-contributed Stata package plssem, which was developed by the course instructors.

The course is of particular interest to researchers and professional working in social sciences, psychology, business administration, marketing and management. Becauase of its introductory nature, it is also accessible to individuals, regardless of their respective disciplines or fields, who need to acquire the requisite toolset to apply the PLS-SEM methodology to their own data. During the course, theoretical concepts are reinforced by applied case study examples in which the course instructors discuss current research issues, highlighting potential pitfalls and the advantages of individual techniques.

  • Session I: Structural equation modeling (SEM) and different approaches to SEM; PLS-SEM versus CB-SEM
  • Session II: Specification of a PLS-SEM model; reflective and formative constructs
  • Session III: Assessment of the results of a PLS-SEM analysis; construct and discriminant validity; goodness of fit; path coefficients interpretation
  • Session IV: Advanced issues in PLS-SEM; mediation analysis; multigroup analysis; higher-order constructs


Participants are expected to have knowledge in basic statistics. More specifically, a working knowledge of linear regression analysis is required. Previous exposure to Stata or other statistical software packages would also be an advantage.

Scientific committee

Una-Louise Bell
TStat – TStat Training

Rino Bellocco
University of Milano-Bicocca
Giovanni Capelli
Istituto Superiore di Sanità
Maurizio Pisati
University of Milano-Bicocca
Giovanni Cerulli


Conference fees include coffee breaks, lunch, course materials, and a temporary Stata license for those attending the workshop. TStat has also organized a limited number of single rooms at the venue (on a bed and breakfast basis) for those wishing to stay on the complex.

Conference fees
(VAT not incl.)
Student Other
Conference only € 65 € 95
Conference + room
(1 night)
€ 145 € 175
Conference + workshop € 245 € 375
Conference + workshop + room
(2 nights)
€ 405 € 535

Registration deadline is 30 April 2024.

Register online

Visit the official conference page for more information.

TStat is delighted to sponsor, via our project “Investing in Young Researchers”, two (2) full-time PhD students from any of the countries for which TStat is the official Stata Distributor. Sponsorship covers both the first day of the conference and the workshop (including the bed and breakfast accommodation). Travel expenses are to be paid the participant. To apply for sponsorship, please send your curriculum vitae to formazione@tstat.it.

Logistics organizer

The logistics organizer for the 2024 Italian Stata Conference is TStat S.r.l., the distributor of Stata for Italy, Albania, Bosnia and Herzegovina, Greece, Kosovo, North Macedonia, Malta, Montenegro, Serbia, Slovakia, and Slovenia.

View the proceedings of previous Stata Conferences and Users Group meetings.