causal

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causal

/cau·sal/ (kaw´z'l) pertaining to, involving, or indicating a cause.

causal

relating to or emanating from cause.

causal association
a noxious agent is said to have a causal association with a particular disease when it can be shown that it plays some role in producing the occurrence of the disease. Generally both biological information and statistical information are combined to infer causal associations.
causal inference
preliminary diagnosis.
causal modeling
construction of models which set out the various relationships between causal agents and the initiation of a disease.

Patient discussion about causal

Q. how is depression caused by having cancer treated? I mean not only the patient, also the family members who tend to get depressed by the situation. how can you treat thi skind of depression?

A. thanks guys, you are great. Nice to have such a community here.

Q. What causes fibromyalgia? Is fibromyalgia a deadly disease?

A. The causes of fibromyalgia are not known. But there are many theories such as abnormalities in brain chemicals, infections, trauma, genetics and hormonal changes. Factors such as poor sleep, fatigue, overexertion and anxiety, may aggravate the symptoms. Fibromyalgia is not a progressive or life-threatening condition, but it affects quality of life. Fibromyalgia is only a disorder of muscles and not a disease.

Q. Is that true that mouth sores are caused by lack of vitamins? I’ve been having white mouth sores in the past 6 months or so. Could that mean I have to take vitamin supplements?

A. yup ... autoimmune reactions means your immune system is not working well
it's not working well because it lacks the nutrient and vitamins it needs to function properly
- take lots of vitamin c to boost your immune system
- organic multivitamins
- organic juices high in anti oxidants
- and most important .. omega 3-6-9

More discussions about causal
References in periodicals archive ?
This model better captures the dynamism of NAS, and decision makers can use the model to perform causal inference to form various, what-if scenarios to see how changes in one or more factors affect the probability of arrival delay.
Yet even if doing so is not always sufficient on its own, integrating multiple methods can be critical for improving the quality and credibility of causal inference in the social sciences.
First, we describe tactics for implementing what is considered by many to be the strongest design for drawing causal inferences about interventions: a design that uses a pretest, posttest, and random assignment of study participants to experimental and control groups.
7, Schmitt examines Hume's doubts regarding the general unreliability of the imagination, the "Manifest Contradiction," and the "Illusion of Causal Ascription," arguing that Hume does not take these to call causal inference into doubt.
More importantly, does it matter that we cannot make causal inferences about the effectiveness of CBT because of the possibility that observed effects are due to placebo (and/or nocebo) effects, or other biases arising from lack of blinding?
Even though the ecclesiastical section is lightweight, overall I found this book to be the best analysis of causal inference that I have encountered.
This type of randomness is analogous to a controlled experiment in which some schools are matched with an intern (treatment schools) and others are not (control schools), and it represents the "gold standard" through which causal inferences may be drawn.
In this paper, we compare the basic features of these approaches and we suggest complementing the classical with the causal inference approach.
Also, inappropriate pitch accents could make causal inferences more difficult to generate.
In particular, it is still not entirely clear which benefits natural experiments bring in terms of causal inference.