Year: 2025
Type: article
Abstract: Summary Within the potential outcomes framework, balancing the treatment groups is a key step in estimating the average treatment effect in an observational study. Methods for optimal matching or weighting solve nonlinear programming problems. We present an alternative, related to ridge regression. Its solution has a closed form and is a smooth function of a set of tuning parameters. The method is accompanied by a simple way of exploring the sensitivity with respect to bias due to an unobserved confounder. It is applied to retrospective studies in neonatal research, concerned with clinical care for preterm born babies in the first few weeks of their lives.
DOI: 10.1111/anzs.70004
Author: N. T. Longford
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409868860