answersLogoWhite

0

Yes, plausibility is one of Hill's criteria for determining a causal relationship. It refers to the degree to which the observed association between a risk factor and an outcome aligns with existing biological or social knowledge. A plausible explanation strengthens the argument for causality, as it suggests that the relationship is not only statistically significant but also makes sense within the context of existing scientific understanding.

User Avatar

AnswerBot

3w ago

What else can I help you with?

Continue Learning about General History

What was Robert koch's contribution to biology?

Robert Koch was a pioneering microbiologist known for his foundational discoveries in the field of bacteriology. He developed Koch's postulates, a series of criteria used to establish a causal relationship between a microbe and a disease, which became essential for identifying the pathogens responsible for infectious diseases. His work led to the identification of the causative agents of tuberculosis, cholera, and anthrax, significantly advancing our understanding of infectious diseases and laying the groundwork for modern microbiology and public health practices.


How is a wound diagnosed?

A diagnosis is made by visual examination and may be confirmed by a report of the causal events


What statement about ancient American civilizations expresses a historical theory rather than a fact?

A statement like "Ancient American civilizations developed complex societies primarily due to their interactions with other cultures" expresses a historical theory rather than a fact. This assertion interprets the reasons behind the development of these civilizations and suggests a causal relationship, which is subject to debate and interpretation. In contrast, factual statements would simply describe known aspects of these civilizations, such as their agricultural practices or architectural achievements.


What are the importance of studying African history?

White guilt. History guides future. Learning the history makes us avoid from making the same mistakes (that made in the past) in the future. Also we learn the causal link between cases and it makes easy to observe and learn today's economy, politics and sociology.


What caused the Russia revolutio?

The Russian Revolution had a series of causal factors. The Czar's poor leadership after he assumed responsibility for the military, coupled with the losses during World War I resulted in his loss of his army. When widespread rioting began due to a scarcity of food, his army took the side of the people. The Duma urged the Czar to abdicate, establishing an interim government.

Related Questions

What are examples of hills criteria?

Hill's criteria are a set of guidelines used to assess causality in epidemiological studies. Examples of Hill's criteria include strength of association, consistency of findings, temporality, dose-response relationship, coherence, specificity, biological plausibility, and experimental evidence. These criteria help researchers evaluate the likelihood of a causal relationship between an exposure and an outcome.


What are hill criteria of assessment of disease causation?

1- srength 2- consistency 3- specificity 4- temporality 5- biological gradient 6- plausibility 7- coherence 8- expermintal evidence 9- analogy


What are the three criteria for causality Why do all three criteria need to be addressed for causality to be considered?

The three criteria for causality are temporal precedence, covariation of cause and effect, and elimination of alternative explanations. Temporal precedence establishes that the cause must precede the effect in time, covariation shows that changes in the cause are consistently followed by changes in the effect, and alternative explanations must be eliminated to establish a causal relationship. All three criteria are needed to ensure that the observed relationship between variables is indeed causal and not due to other factors.


Is NOT necessary when determining a causal relationship between two variables?

It is not necessary to establish a direct temporal order between two variables when determining a causal relationship if there is strong evidence of a third variable influencing both. Correlation alone does not imply causation, so additional evidence, such as experimental manipulation or longitudinal studies, is often required. Additionally, ruling out alternative explanations is crucial to strengthen claims of causation. Thus, while temporal order is important, it is not the sole determinant of causality.


Does a negative correlation coefficient indicate an inverse relationship?

Yes, but the relationship need not be causal.


Do you get cancer if you do protest?

There is no causal relationship between protest and cancer.


What is causal order?

The term "causal order" can be defined as a method of organising ones speech to ensure that the major points demonstrate a relationship between the cause and its effect.


Can Starbucks make use of causal research in determining whether new gourmet coffee flavors should be introduced?

They do change the blend or flavoring and give it to taste testers. If they like A over B, that's causal research.


Is although a causal connective?

No, although is a concessive connective, not a causal one. It introduces a contrast or contradiction between two ideas rather than showing a cause-and-effect relationship.


What is the difference between a causal relationship and a positive relationship?

well, you don't go insane and have maggots eat your feet. -Stalin M.D.


What is the difference between correlation and causal relationship in research studies?

Correlation in research studies shows a relationship between two variables, but it does not prove that one variable causes the other. A causal relationship, on the other hand, indicates that changes in one variable directly cause changes in another variable.


What is a causal hypothesis?

A causal hypothesis is a proposed explanation for a cause-and-effect relationship between two or more variables. It suggests that changes in one variable directly influence changes in another variable. Researchers test causal hypotheses through experiments or empirical studies to determine the validity of the proposed relationship.