„causal inference“
Suchergebnisse
1.000+ Treffer
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Way off – The effect of minimum distance regulation on the deployment of wind power
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Application of causal inference methods in individual-participant data meta-analyses in medicine: addressing data handling and reporting gaps with new proposed reporting guidelines
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Essays on causal inference in corporate finance
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Preventive Effect Heterogeneity: Causal Inference in Personalized Prevention
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Association between bilirubin and cardiovascular disease risk factors: using Mendelian randomization to assess causal inference
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Methodological aspects of emulating target trials for causal evaluation of cancer screening programs using health claims data
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Causal Inference Approaches Reveal Associations Between LDL Oxidation, NO Metabolism, Telomere Length and DNA Integrity Within the MARK-AGE Study
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A causal inference approach to measure the vulnerability of urban metro systems
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Elucidating the link between weather and infectious diseases: A causal modeling framework with applications to Varicella
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Identification and Estimation of Causal Mechanisms and Net Effects of a Treatment under Unconfoundedness
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[Book Review] Judea Pearl, Causality – Models, Reasoning, and Inference. 2nd edition, new printing with corrections. Cambridge: Cambridge University Press, 2013, 484 pages.
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Towards causal inference-based antidepressant selection with brain and blood biomarkers
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Predicting the Direction of Causal Effect Based on an Instrumental Variable Analysis: A Cautionary Tale
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Violation of the Constant Genetic Effect Assumption Can Result in Biased Estimates for Non-Linear Mendelian Randomization
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Multisensory perceptual and causal inference is largely preserved in medicated post-acute individuals with schizophrenia
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Shortening antibiotic therapy duration for hospital-acquired bloodstream infections in critically ill patients: a causal inference model from the international EUROBACT-2 database
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Inference of time-dependent causal influences in Networks
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Time‐dependent mediators in survival analysis: Modeling direct and indirect effects with the additive hazards model
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Why causal inference is necessary for algorithmic fairness
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A response to some arguments for causalism about inference