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It's tricky to define cause and effect.
But no matter how much a person closes their eyes and plugs their ears, the world around us is still governed by immutable natural laws that define cause and effect.
Mechanistic research is therefore essential to define cause and effect.
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Epidemiological studies can uncover associations, but do not define a cause-and-effect relationship.
In order to define the cause and effect and the developmental correlates of the disease process using neuroimaging, we will need to tackle the challenges of task design, heterogeneity of participant samples, and the absence of longitudinal studies.
The more complex, and also correct, answer is that pleasure requires a subject/object relationship that is defined by cause and effect.
Although recent advances in high throughput sequencing technology make it feasible to study very complex microbiotas in detail, to precisely define cause or consequence of an observed effect remains challenging.
Strategy maps enable managers to define and communicate the cause-and-effect relationships that deliver their unit's value proposition, and the scorecard is a powerful tool for implementing and monitoring the unit's strategy.
Traditional safety approaches assume well defined cause-effect links that propagate the effects of events contributing to the safety risk (e.g. sequential or epidemiological safety models).
The law of cause-and-effect.
The first three rules define what it is to be cause and effect: as we have seen, they must be contiguous in space and time; the cause must be a prior to the effect; there must a constant union between cause and effect (1.3.15.3 5).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com