Results 161 to 170 of about 1,239,696 (252)
Causal misspecifications in econometric models
We bridge together the graph-theoretic and the econometric approach for defining causality in statistical models to consider model misspecification problems.
Itkonen, Juha
core
Limitations to causal inference in observational studies of PFO closure. [PDF]
Daghlas I.
europepmc +1 more source
Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference. [PDF]
Yao M, Wang A, Li X, Liu Z.
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Influence of inflammatory and metabolic factors on keratoconus risk: a causal inference analysis. [PDF]
Hysi PG +8 more
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Robust and interpretable unit level causal inference in neural networks for pediatric myopia. [PDF]
Jin Z +11 more
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Coupling Causal Inference and Cross-Modal Recalibration: A Unified Framework for Adaptive Multisensory Perception. [PDF]
Liu J, Huang CC, Zeng F.
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Implementing empirical likelihood within the causal inference framework to study causal effects of air pollution on reproductive development. [PDF]
Sharghi S +4 more
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Transcriptome-wide root causal inference. [PDF]
Strobl EV, Gamazon ER.
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