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In all scientific disciplines, the number of statistical methods is increasing in parallel with the speed of computers, and statistical software has become the most essential tool for their application.

This workshop will cover various data analysis techniques and demonstrate how to analyze quantitative data using Stata. While it is not possible to delve into the details of each method, the workshop aims to provide a comprehensive overview of data analysis using Stata.

The workshop is taught by Dr. Christian Brzinsky Fay, a DPC Stata consultant and social scientist who teaches methods and statistics at the University of Hamburg. His research interests include labour markets, education, school-to-work transitions, social inequality, and life-course research. He has been a Stata user for two decades and has given many Stata and method courses in academic and non-academic contexts.

Place: Utrecht University, address: Janskerkhof 2-3, room 2.18.


10:00 – Introduction Stata Day

10:10 — Introduction: All Hands on Stata

11.00 – Break

11:15 — Regression Modelling from the Scratch to the Publication

This section demonstrates how to fit different regression models in Stata. It covers the stepwise construction of a model, different outputs (regression tables), check of assumptions and results’ presentation (coefficient plots). This includes the calculation and presentation of marginal effects using Stata’s margin and marginsplot commands.

12:30 – Lunch break

13:30 — Multilevel/Longitudinal Models and Survival Analysis

In this talk, the concepts and jargon of multilevel modeling for nested data are introduced. Christian also will demonstrate how to fit multilevel/longitudinal models using Stata’s -mixed- command, and how to visualize the results. In addition, Christian will present an introduction to survival analysis (aka event history analysis), which also shows Stata’s potential to work with long format data.

14:30 – Break

14:45 — Visualization using Stata

In our fast moving world dominated by visual media, it becomes increasingly important for researchers to communicate their results graphically. In this talk, Christian would like to show Stata’s potential to create ready-to-publish graphs and diagrams that transport research findings. This will also cover the visualization of descriptive and multivariate statistics and include the usage of macros.

15:45 — Questions

16:00 – End