If the true risk ratio is 1.0 and the confounded risk ratio is 2.0, this is an example of which of the following?
A) Positive confounding
B) Negative confounding
C) Confounding by indication
D) Confounding by severity
Correct Answer:
Verified
Q8: The confounding variable must be more or
Q9: Confounding is an all-or-none condition described merely
Q10: Confounding by severity in observational studies usually
Q11: The mixing of effects between an exposure,
Q12: Except for which of the following, it
Q14: Which of the following occurs when individuals
Q15: If which of the following occurs in
Q16: If investigators use which of the following
Q17: Which of the following is needed when
Q18: Epidemiological studies of the relationship between an
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