Sentence examples for in which causation from inspiring English sources

As this study illustrates, the ways in which causation is expressed in history textbooks extends beyond the causal conjunctions and CMPs so often used to teach students how causation is expressed.

Despite pedagogic efforts to shift history instruction from traditional, textbook-driven teaching to multiple-source historical thinking activities, the ways in which causation is discussed with students in both settings is eerily similar.

Davidson integrates this response within a general account of causation and explanation, in which causation is an extensional relation that holds between coarse events, while explanation is an intensional relation that holds between the coarse events under a description.

Robert Fogelin (1985) emphasizes Hume's radical skepticism concerning induction, and he also argues that Hume's radical skeptical argument has the consequence, ultimately, that necessity is no longer an essential ingredient in our idea of causation: Hume's view of causation thus reduces to a pure regularity conception according to which causation is based solely on constant conjunction.

A recent meta-analysis also found a statistically significant inverse association between circulating 25(OH D levels and cancer mortality, based on 12 primary prevention cohort studies in which reverse causation is less likely than secondary prevention cohort studies (Chowdhury et al, 2014).

Its principal merits lay in the avoidance of any reliance on causal concepts and in the ability to give an account of explanation in areas of theoretical science in which talk of causation seems strained.

Lewis (2000) presents a new counterfactual theory of deterministic causation, in which he concedes that there are problems in probabilistic causation that his account is not yet able to handle.

Then, representations of deterministic causation can be viewed as a special case of probabilistic causation in which causes are sufficient and necessary for their effects.

4. Create a short brochure entitled "Correlation is not causation," in which you explain this principle of statistics, and give examples to support it.

According to this view, there is a special sort of causation in which an event is caused at least in part by an agent.

The adherents have usually tried to give an account of causation in which the cause and the effect are not seen as regularities between types of events.