A principled approach to mediation analysis in perinatal epidemiology
For many research questions in perinatal epidemiology, gestational age is a mediator that
features the causal pathway between exposure and outcome. A mediator is an intermediate …
features the causal pathway between exposure and outcome. A mediator is an intermediate …
[图书][B] Principles and practice of structural equation modeling
RB Kline - 2023 - books.google.com
Significantly revised, the fifth edition of the most complete, accessible text now covers all
three approaches to structural equation modeling (SEM)--covariance-based SEM …
three approaches to structural equation modeling (SEM)--covariance-based SEM …
Improving causal inference of mediation analysis with multiple mediators using interventional indirect effects
Mediation analysis is indispensable for investigating how a treatment causally affects an
outcome via intervening variables. Existing discussions on the validity of causal inference …
outcome via intervening variables. Existing discussions on the validity of causal inference …
Three-level evaluation method of cumulative slope deformation hybrid machine learning models and interpretability analysis
Z Deng, K Xie, Q Su, L Xu, Z Hao, X Xiao - Construction and Building …, 2023 - Elsevier
The study aims to address the issues of limited evaluation metrics and low visualization for
Machine Learning (ML) models in Cumulative Slope Deformation (CSD) prediction. Firstly …
Machine Learning (ML) models in Cumulative Slope Deformation (CSD) prediction. Firstly …
[HTML][HTML] The role of psychosocial well-being and emotion-driven impulsiveness in food choices of European adolescents
S Do, V Didelez, C Börnhorst, JMJ Coumans… - International Journal of …, 2024 - Springer
Background It is unclear whether a hypothetical intervention targeting either psychosocial
well-being or emotion-driven impulsiveness is more effective in reducing unhealthy food …
well-being or emotion-driven impulsiveness is more effective in reducing unhealthy food …
Mediating role of psychological distress in the associations between neighborhood social environments and sleep health
Abstract Study Objectives The characteristics of neighborhood social environments, such as
safety and social cohesion, have been examined as determinants of poor sleep. The current …
safety and social cohesion, have been examined as determinants of poor sleep. The current …
Practical causal mediation analysis: extending nonparametric estimators to accommodate multiple mediators and multiple intermediate confounders
Mediation analysis is appealing for its ability to improve understanding of the mechanistic
drivers of causal effects, but real-world data complexities challenge its successful …
drivers of causal effects, but real-world data complexities challenge its successful …
[HTML][HTML] Applied causal inference methods for sequential mediators
Background Mediation analysis aims at estimating to what extent the effect of an exposure
on an outcome is explained by a set of mediators on the causal pathway between the …
on an outcome is explained by a set of mediators on the causal pathway between the …
Decomposition, identification and multiply robust estimation of natural mediation effects with multiple mediators
F Xia, KCG Chan - Biometrika, 2022 - academic.oup.com
Natural mediation effects are desirable estimands for studying causal mechanisms in a
population, but complications arise in defining and estimating natural indirect effects through …
population, but complications arise in defining and estimating natural indirect effects through …
Causal inference for the expected number of recurrent events in the presence of a terminal event
We study causal inference and efficient estimation for the expected number of recurrent
events in the presence of a terminal event. We define our estimand as the vector comprising …
events in the presence of a terminal event. We define our estimand as the vector comprising …