8/28/2023 0 Comments Is data dredging vs stepwise![]() Selection happens before running any analysis (i.e.It provides a way to incorporate and combine previous information from a variety of high quality studies.Selecting variables based on background knowledge Advantages of using background knowledge to select variables Variables that are not linearly related to the outcome (in case you’re running a linear regression)īelow we discuss each of these points in details. ![]() Variables that are highly correlated with other predictors in the model (causing a collinearity problem).Variables that have a large number of missing values or low variability.Interaction terms of variables that have large main effects.Variables that can either be considered the cause of the exposure, the outcome, or both.Variables that are already proven in the literature to be related to the outcome.When building a linear or logistic regression model, you should consider including:
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