I am a lecturer at Monash University (Melbourne, Australia), where I work creating survey weights and thinking about non-representative data, multilevel modelling, poststratification, causal inference, Bayesian inference and all manner of other related fields to making inference from the social sciences.

Recent and Upcoming News

April 1, 2023

I will be joining the Department of Mathematical Sciences at the University of Adelaide as a lecturer. From this date I will no longer be contactable at lauren.kennedy1@monash.edu and instead should be contacted at lauren.a.kennedy@adelaide.edu.au

February 28, 2023

I will be in Canberra to give a talk to the Canberra SSA branch titled “Trials and Triumphs with survey estimation”. If you are in Canberra and would like to meet on the 28th Feb or 1 March, please feel free to reach out.

February 27, 2023

New preprint with Andrew Gelman and Jessica Hullman. In this paper we discuss the different causal treatment patterns that can result in the same average treatment effect (ATE).

Gelman, Hullman and Kennedy(2023), Causal quartets: Different ways to attain the same average treatment effect. http://www.stat.columbia.edu/~gelman/research/unpublished/causal_quartets.pdf https://statmodeling.stat.columbia.edu/2023/02/24/causal-quartets-different-ways-to-attain-the-same-average-treatment-effect/ https://github.com/jhullman/causalQuartet

February 02, 2023

MRP (multilevel regression and poststratification) based estimates for congressional districts from the Cooperative Congressional Electoral Study are now available here. I am listed as contributor due to efforts in the modelling.

January 19, 2023

Alex Cooper, who is working on his PhD at Monash University released a preprint on Arxiv

Alex Cooper, Dan Simpson, Lauren Kennedy, Catherine Forbes, and Aki Vehtari (2023). Cross-validatory model selection for Bayesian autoregressions with exogenous regressors. arXiv preprint arXiv:2301.08276.