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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Gaston

2 days ago

Interesting point, but wouldn't biased parameter estimates affect the overall accuracy of the model?

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Dominga

6 days ago

I disagree, I believe only the non-intercept parameter estimates are biased in this case.

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Quentin

22 days ago

D) Sensitivity estimates are biased? I don't think that's right. Sensitivity is a measure of how well the model predicts the positive cases, which would be affected by the biased parameter estimates.

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