Sentence examples for modeling of causal from inspiring English sources

Fig. 1 Examples of a situation where the modeling of causal relationships using observational data will be biased (a) and a situation where it will be valid (b).

This type of analysis can enrich the modeling of causal factors, provide insight into policy making and support decisions for resource allocations to prevent such disasters.

The purpose is to assess whether there is an impact of direct modeling of causal pathways in terms of bias, power, and coverage probability when the goal is to determine the total effect of the main independent variable.

The third step, assessment, explores how the decision to be made influences these concerns and disparities through qualitative understanding and/or quantitative modeling of causal pathways as understood in the scientific literature.

In this article, I argue that the counterfactual model of causal effects captures most aspects of causality in health sciences.

It is argued that the counterfactual model of causal effects captures the main aspects of causality in health sciences and relates to many statistical procedures.

Mr Hammerbacher, who previously worked in the trenches of this very matter as Facebook's first data-scientist, ventured in:"Social science as a model for data science is much stronger than in the physical sciences, in that there is a tremendous focus on the model of causal inference in observational studies," he said.

The theories differ in terms of the underlying EU theory, and the model of causal dependency that is employed.

This result is consistent with Causal Reasoning Models of causal learning and raises important difficulties for associative explanations of IbC.

Part of this work is related to models of causal conditionals and part of it is related to work in the area of non-monotonic logic.

Within the naturalistic standpoint of science and common life, Hume emphatically endorses the inductive method but not the a priori model of causal explanation.