what is the causal question; what quantity would, if known, answer the causal question; what is the study design; what causal assumptions are being made; how can the observed data be used to answer the causal question in principle and in practice; and is a causal interpretati...
An Introduction to Causal Inference This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts that must be undertaken in moving from traditional statis... J Pearl - 《Nephron Clinical Practice》 被引量: 243发表: 2010年 Causal Inference from Observational Data: ...
Causal inference in infectious diseases. Epidemiology. 1995;6(2):142-151. doi:10.1097/00001648-199503000-00010 PubMedGoogle ScholarCrossref 17. Little RJ, Rubin DB. Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches. ...
Alternatives to randomisation in the evaluation of public-health interventions: statistical analysis and causal inference Background In non-randomised evaluations of public-health interventions, statistical methods to control confounding will usually be required. We review app... S.,Cousens,J.,... - ...
I discuss similarities and differences of the two points of view and argue that—understood as a practical method of causal inference—the set presented here is superior. 展开 关键词: Abhinavagupta Isvarapratyabhijnavimarsini 2.1 benediction ...
持续时间 1:17:55 Foundations of causal inference and its impacts on machine learning webinar 2020年12月3日 Speakers : Amit Sharma, Emre Kiciman 所属单位 : Microsoft Research 人员 Amit Sharma Principal Researcher 了解更多 Emre Kiciman Senior Principal Research Manager 了解更多 关注...
Numerous ex-post evaluation studies have answered the questions on whether an intervention made a difference to the transport system using causal inference models, whereas the questions on why and how remain underexplored. This paper contributes to the transport domain by introducing an approach for ca...
Bishop JM (2021) Artificial intelligence is stupid and causal reasoning will not fix it. Front Psychol 11:2603. https://doi.org/10.3389/fpls.2021.684328 Article Google Scholar Hair JF, Sarstedt M (2021) Data, measurement, and causal inferences in machine learning: opportunities and challenges ...
Code Issues Pull requests Why And What If: Causal Inference for Everyone graphical-models mediation causality interventions causal-inference counterfactuals Updated Nov 13, 2020 Jupyter Notebook frankaging / Interchange-Intervention-Training Star 9 Code Issues Pull requests The codebase for Inducing...
M. et al. Thinking clearly about causal inferences of politically motivated reasoning: why paradigmatic study designs often undermine causal inference. Curr. Opin. Behav. Sci. 34, 81–87 (2020). Article Google Scholar Druckman, J. N. & McGrath, M. C. The evidence for motivated reasoning ...