SAS Exam A00-240 Topic 5 Question 103 Discussion

Actual exam question for SAS's A00-240 exam

Question #: 103
Topic #: 5

One common approach for predicting rare events in the LOGISTIC procedure is to build a model that disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event split).

What problem does this present?

AAll parameter estimates are biased.

BOnly the intercept estimate is biased.

COnly the non-intercept parameter estimates are biased.

DSensitivity estimates are biased.

Show Suggested Answer

Suggested Answer: B

by Cherilyn at Nov 16, 2024, 06:48 PM

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Vi

19 hours ago

I agree with Renea. The intercept estimate will be unbiased, but the other parameter estimates will be biased.

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Gaston

3 days ago

I think the problem with disproportionately representing rare events is that all parameter estimates are biased.

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Renea

3 days ago

Option C seems correct. The non-intercept parameter estimates will be biased when the event/non-event split is disproportionate.

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