Performance of quantile regression methods with discrete outcomes: A simulation study with applications to environmental epidemiology
In our simulations with discrete outcomes, dithered frequentist quantile regression (particularly with xy-bootstrapped confidence intervals) had the best overall performance. The Bayesian method with adjusted intervals is an acceptable strategy, although it was biased under certain scenarios and generated credible intervals with more variable widths.
Authors
- Joshua D. Alampi (ORCID: https://orcid.org/0000-0002-4579-1059)
- Lawrence C. McCandless (ORCID: https://orcid.org/0000-0002-8752-2105)
- Bruce P. Lanphear (ORCID: https://orcid.org/0000-0003-2598-5574)
Institutions
- Simon Fraser University (CA)
Publication Details
- Journal
- Environmental Epidemiology
- Published
- 2025-10-28
- DOI
- https://doi.org/10.1097/ee9.0000000000000432
- Primary Topic
- Statistical Methods and Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.00