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Why do we use odds ratio?
Odds ratios are used to compare the relative odds of the occurrence of the outcome of interest (e.g. disease or disorder), given exposure to the variable of interest (e.g. health characteristic, aspect of medical history).
How do you explain odds ratio in words?
Odds Ratio is a measure of the strength of association with an exposure and an outcome. OR > 1 means greater odds of association with the exposure and outcome. OR = 1 means there is no association between exposure and outcome. OR < 1 means there is a lower odds of association between the exposure and outcome.
How do you interpret odds ratio?
interpreting the odds ratio for continuous variable depends on the unit of the continuous variable. It will mean the odds increase for every one unit increase in the continuous variable measure. You can also computer the odds ratio for every 10 units or any number of increase in the continuous variable measure.
What is odds ratio interpretation?
An odds ratio of exactly 1 means that exposure to property A does not affect the odds of property B.
What is coefficient in logistic regression?
The coefficients in the logistic regression represent the tendency for a given region/demographic to vote Republican, compared to a reference category. A positive coefficent means that region is more likely to vote Republican, and vice-versa for a negative coefficient; a larger absolute value means a stronger tendency than a smaller value.
What is the meaning of odds ratio?
Definition in terms of group-wise odds. The odds ratio is the ratio of the odds of an event occurring in one group to the odds of it occurring in another group. The term is also used to refer to sample-based estimates of this ratio.