The difference between association and causation in Epidemiology
The answer is given below,
The disease causation means a structure or function in a human, animal,or plant especially one that produces one that specific symptoms or that affects a specific location and not simply a direct result of physical injury.
specially, causation needs to be distinguished from mere association ,the link between two variables often an exposure and an outcome. An observed association may in fact to be due to the effect of one or more of the following association ; chance(random error)Bias (systematic error).
Discuss the difference between correlation and causation and the difference between statistical and practical significance. Please give examples of each to help define each concept.
What is the meaning of the term "Causation" in epidemiology? Describe any 4 of Hill's criteria for determining causality?
Differentiate between association and causation using the causal guidelines. Discuss which guidelines you think is the most difficult to establish. Discuss the four types of casual relationships and use an example not listed in the textbook to describe each relationship.
A large epidemiology study has found a statistically significant association between the number of people who go to the Emergency Department with asthma attacks and the ozone concentration the preceding day. Please describe some possible factors that might confound this association and explain how these factors meet the definition of confounding.
discuss the three necessary conditions for causation. What is a correlation? What is the difference between a positive and negative correlation? Give an example of each. What is a correlation coefficient and what would be a perfect one numerically?
Describe the difference between correlation and causation, including a discussion of the coefficient of correlation and the coefficient of determination (ch.13).
Explain in your own words the difference between correlation and causation. Find an example of two things that are highly correlated (linearly) but do not have a causal relationship. Explain how this is possible and identify at least one reason that this relationship exists.
Causation Relative risk Type I Error Ethics RCTS Lead-time bias makes it appear that people who get an early diagnosis from a screening test, live longer than Lead time aren't screened This type of bias occurs when we select participants on a common effect that will likely produce an association Selection bias 3. Resfarchers test the effectiveness of exercise versus diet in a weight-loss study, the concluded that there was between the two, but the truth is, there is a...
Epidemiology: 1. A researcher wants to know if there is an association between exposure to asbestos and mesothelioma (a type of cancer). Which of the following is/are the most appropriate epidemiological study/ies to analyze this association? a. randomized trial b. prospective cohort study c. case-control study d. retrospective cohort study e. either case-control or retrospective cohort study f. either randomized trial or case-control study - Provide an explanation for your choice for your previous scenario. 2. A researcher wants...
9. (Association Versus Causation) Suppose I observe that communities with lots of doctors tend to have relatively high rates of illness. I conclude that doctors cause illness. What's wrong with this reasoning?