2 papers
stat.ME2026
Single World Intervention Graphs as Distributions: A Framework for Causal Identification
Christian Bartels
Causal inference seeks to estimate the effect of an intervention on an outcome using observed data, typically via Rubin's potential-outcome framework or Pearl's do-calculus. Follow…
stat.ME2024
Correcting for confounding in longitudinal experiments: positioning non-linear mixed effects modeling as implementation of standardization using latent conditional exchangeability
Christian Bartels, Martina Scauda, Neva Coello +3
Non-linear mixed effects modeling and simulation (NLME M&S) is evaluated to be used for standardization with longitudinal data in presence of confounders. Standardization is a well…