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Correlation and Causation01:27

Correlation and Causation

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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
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Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
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Benzodiazepines have both sedative and hypnotic properties. They include compounds such as diazepam (Valium) and alprazolam (Xanax). Structurally, their cores are similar, consisting of the fusion of a benzene ring and a diazepine ring, but they share a common mechanism of action in the central nervous system (CNS).
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CNS depressants include drugs from the category of barbiturates and benzodiazepines. They are valuable medications for managing anxiety disorders and insomnia. Barbiturates, once used to induce and maintain sleep, have been replaced mainly by benzodiazepines due to barbiturate's toxicity, tolerance, and overdose risks. They interact with GABAA receptors, leading to sedation at low doses and potentially coma and death at higher doses. Phenobarbital, a long-acting barbiturate, possesses...
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Benzodiazepines vs mortality - Causation or confounding?

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Sleep Medicine
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No abstract available in PubMed .

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