Abstract This paper uses counterfactual simulations to examine the impact of bilateral trade linkage disruptions on the U.S. agricultural and food trade system. Using an econometric gravity model, we estimate the relationship between disruptions and trade flows, identify critical state‐to‐state trade linkages whose disruption would significantly impact
Taejun Mo, Sandy Dall'erba
wiley +1 more source
Assessing Treatment Effects in Observational Data With Missing Confounders: A Comparative Study of Practical Doubly-Robust and Traditional Missing Data Methods. [PDF]
Williamson BD +15 more
europepmc +1 more source
Estimating Interaction Effects With Panel Data
ABSTRACT This paper analyzes how interaction effects can be consistently estimated under economically plausible assumptions in linear panel models with a fixed T$$ T $$‐dimension. We advocate for a correlated interaction term effects (CITE) estimator and show that it is consistent under conditions that are not sufficient for consistency of the ...
Chris Muris, Konstantin M. Wacker
wiley +1 more source
A two-stage GAN-based instrumental variable method for causal analysis of omics data. [PDF]
Zhou Y +7 more
europepmc +1 more source
Adolescents' trajectories of mental health in the MYRIAD trial
Abstract Background This study explored adolescent's mental health trajectories over the course of a school‐based mindfulness‐based intervention trial (MYRIAD). It examined whether intervention condition (mindfulness vs. teaching‐as‐usual), individual‐level and contextual‐level factors were associated with different trajectories.
Carolina Guzman Holst +8 more
wiley +1 more source
Understanding Peelle's Pertinent Puzzle bias in generalized least squares regression through eigenspectrum analysis. [PDF]
Walton NAW +5 more
europepmc +1 more source
Abstract Background Genetic epidemiological analyses of child and adolescent mental health often use data from prospective longitudinal cohorts. Missingness due to selective attrition is therefore an important potential source of bias in such analyses.
Meseret M. Bazezew +4 more
wiley +1 more source
Genome-Wide Association Analysis and Candidate Gene Prediction of Wheat Wet Gluten Content. [PDF]
Liu C +9 more
europepmc +1 more source
Abstract Background Understanding symptom patterns of emerging psychopathology is essential for early detection and intervention. Network analysis offers a promising approach by conceptualizing emerging psychopathology as dynamic interactions between symptoms over time.
Xenia A. Häfeli +3 more
wiley +1 more source
Causal decomposition analysis with synergistic interventions: A triply robust machine-learning approach to addressing multiple dimensions of social disparities. [PDF]
Park S, Kim SY, Zheng X, Lee C.
europepmc +1 more source

