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stepwise selection
Why is Stepwise Selection Important in Epidemiology?
In epidemiology, researchers often deal with large datasets containing numerous
potential risk factors
and
confounders
. Stepwise selection aids in simplifying the model by retaining only the most relevant variables. This is crucial for developing accurate and reliable models for
disease prediction
,
risk assessment
, and
public health interventions
.
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