London Stata Conference 2021

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23: Advanced data visualizations with Stata

Asjad Naqvi

22: Graphics for ordinal outcomes or predictors

Nicholas Cox

21: Differences-in-differences in Stata 17

Enrique Pinzon

20: rbprobit: Recursive bivariate probit estimation and decomposition of marginal effects

Mustafa Coban

19: Panel Unit Root Tests with Structural Breaks

Pengyu Chen, Yiannis Karavias and Elias Tzavalis

18: Drivers of COVID-19 Outcomes: Evidence from a Heterogeneous SAR Panel Data Model

Christopher Baum and Miguel Henry

17: A robust regression estimator for pairwise-difference transformed data: xtrobreg

Vincenzo Verardi and Ben Jann

16: The Stata module for CUB models for rating data analysis

Giovanni Cerulli, R. Simone, Francesca Di Iorio, D. Piccolo and Christopher Baum

15: Introducing stipw: inverse probability weighted parametric survival models

Micki Hill, Paul C Lambert and Michael J Crowther

14: Analysing conjoint experiments in Stata: the conjoint command

Michael Frith

13: Computing score functions numerically using Mata

Álvaro A. Gutiérrez-Vargas

12: PyStata - Python and Stata integration

Zhao Xu

11: Using xtbreak to study the impacts of European Central Bank announcements on sovereign borrowing

Natalia Poiatti

10: A bird's-eye view of Bayesian software in 2021: opportunities for Stata?

Robert Grant

9: Integrating R Machine Learning Algorithms in Stata using rcall: A Tutorial

Ebad F. Haghish

8: Two-stage sampling in the estimation of growth parameters and percentile norms: sample weights versus auxiliary variable estimation

George Vamvakas

7: Gravitational Effects of Culture on Internal Migration in Brazil

Daisy Assmann Lima and Philipp Ehrl

6: Covariate adjustment in a randomised trial with time-to-event outcomes

Ian White, Tim P Morris and Deborah Ford

5: Estimating causal effects in the presence of competing events using regression standardisation with the Stata command standsurv

Elisavet Syriopoulou, Sarwar I Mozumder, Mark J Rutherford and Paul C Lambert

4: Instrumental variable estimation of large-T panel data models with common factors

Sebastian Kripfganz and Vasilis Sarafidis

3: A unified Stata package for calculating sample sizes for trials with binary outcomes (artbin)

Ella Marley-Zagar, Ian White, Mahesh K. B. Parmar, Patrick Royston and Abdel G. Babiker

2: The production process of the global MPI

Nicolai Suppa

1: Ridits right, left, center, native and foreign

Roger Newson