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Interpret linear regression and when it can be used
•Bivariate analysis does not account for confounding variables
•Multivariate analysis finds impact confounding variable
when use logistic regression
Dichotomous or binary outcomes (present or absent)→ require the use of logistic regression
how is logistic regression expressed
. For categorical predictors, the odds ratio compares the odds of the outcome occurring with the presence versus absence of the predictor.
For continuous predictors, the odds ratio describes the change in odds for each one-unit increase in the predictor.
Interaction
the effect of one variable on the outcome is influenced by another variable. This means the relationship between a risk factor and an outcome is not straightforward but varies depending on the level or presence of another variable.
R closer to __ is better
1
How many variables should a model have?
Min: 1- no minimum
Max: 1 variable per 10 people
Note
Flashcard