'Wasserstein F-tests for Frechet regression on Bures-Wasserstein manifolds', by Haoshu Xu, Hongzhe Li.

http://jmlr.org/papers/v26/24-0493.html

#wasserstein #covariates #covariate

#statstab #285 Do Covariates Change the Estimand?

Thoughts: "covariates should be taken into account in estimation. Doing so does not change the question but gives better answers"

#estimand #covariate #causalinference #effects #estimation

https://doi.org/10.1080/19466315.2019.1647874

'DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data', by Jiayi Tong, Jie Hu, George Hripcsak, Yang Ning, Yong Chen.

http://jmlr.org/papers/v26/23-1254.html

#leveraging #estimates #covariate

DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data

#statstab #218 Simulation on adjusting for confounders in a mixed model by @rubenarslan

Thoughts: Brief but insightful simulation to understand bias from ignoring random slopes.

#r #simulation #causalinference #bias #covariate #randomslopes

https://rubenarslan.github.io/posts/2024-05-24-simulation-on-adjusting-for-confounders-in-a-mixed-model/index.html

One lives only to make blunders: Simulation on adjusting for confounders in a mixed model

A brief tidyverse-style simulation to figure out what happens, if I don't include varying slopes in a model.

One lives only to make blunders