Swiss Stata Conference 2022
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- 15: circlebar: A Stata package for plotting circular bar graph

- Asjad Naqvi
- 14: Visualizing categorical data with hammock plots

- Matthias Schonlau
- 13: btable: Extensive summary tables in Stata

- Lukas Bütikofer
- 12: It is all about the data

- Maarten Buis
- 11: Marginal odds ratios: What they are, how to compute them, and why applied researchers might want to use them

- Kristian Karlson and Ben Jann
- 10: Exchangeably weighted bootstrap schemes

- Philippe Van Kerm
- 09: Network regressions in Stata

- William Grieser, Morad Zekhnini and Jan Ditzen
- 08: Bayesian time series in Stata 17

- David Schenck
- 07: Drivers of COVID-19 deaths in the United States: A two-stage modeling approach

- Andres Garcia-Suaza, Miguel Henry, Jesus Otero and Christopher Baum
- 06: Improved tests for Granger noncausality in panel data

- Artūras Juodis, Yiannis Karavias, Vasilis Sarafidis, Jan Ditzen and Jiaqi Xiao
- 05: Stata commands to estimate quantile regression with panel and grouped data

- Martina Pons and Blaise Melly
- 04: Flexible and fast estimation of quantile treatment effects: The rqr and rqrplot commands

- Andreas Haupt, Øyvind Wiborg and Nicolai T. Borgen
- 03: Stata–Python API for bulk data download: Example with UN Comtrade

- Ka Lok Wong
- 02: ddml: Double/debiased machine learning in Stata

- Christian Hansen, Mark Schaffer, Thomas Wiemann and Achim Ahrens
- 01: pystacked: Stacking generalization and machine learning in Stata

- Christian Hansen, Mark Schaffer and Achim Ahrens