Sentence examples for to causation for from inspiring English sources
Even though this first analysis alludes to causation, for those 149 countries with UNAIDS HIV prevalence data, the relationship will become clearer over time when it is possible to compare nations that appear similar today.
The objective in this technical note is to look at transnational corporations in the food industries and study the conceptual issues in trying to assess causation for diet change and to examine the (limited) empirical evidence supporting alternative views.
Other than spurious findings, associations seen could also be due to reverse causation; for example, people suffering from early stages of the disorder may use the substance to self-medicate their symptoms.
In the context of clinical trials, it can be difficult to attribute causation for a given adverse event.
Our cross-sectional design makes it difficult to infer causation for the association between petroleum contamination and adverse health effects.
However, ecologic associations between environmental changes and rising autism rates are not sufficient to infer causation for such a complex disorder.
It is difficult to demonstrate causation for a single evolutionary event, but a possibility is that the riparian specialization of M. coronatus, resulting in a one-dimensional arrangement of territories, may constrain access to an adequate sample of EP mates.
Relations we looked for were related to causation.
A further differential to consider in these cases would be benign tremor with parkinsonism due to an alternative causation (for example, benign tremor on an age-related background of vascular parkinsonism) or a drug-induced tremor parkinsonism causation (for example, sodium valproate exposure) [ 17],[ 18].
It's impossible to prove direct causation for any one suicide.
In both courses, we could see that students were able to distinguish the meaning of high or low correlation coefficients, but it was then difficult for them to synthesize a conclusion explaining the relationship between the variables involved, and to predict potential biological causation for the event described by the data.
