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SAS Exam A00-240 Topic 5 Question 103 Discussion

Actual exam question for SAS's A00-240 exam
Question #: 103
Topic #: 5
[All A00-240 Questions]

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?

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Suggested Answer: B

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

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Ezekiel
1 months ago
I'm going with C. The non-intercept estimates will be biased because the sample is not representative of the true population. Gotta love these tricky LOGISTIC procedure questions!
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Paulene
8 days ago
I agree with you, C. The non-intercept parameter estimates will be biased due to the disproportionate representation of cases.
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Clemencia
18 days ago
I think it's A. All parameter estimates are biased in this case.
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Malinda
1 months ago
Hmm, this question is a bit like playing 'Russian Roulette' with the correct answer. You really have to be 'on the ball' to get this one right!
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Walton
22 days ago
C) Only the non-intercept parameter estimates are biased.
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Rodolfo
24 days ago
B) Only the intercept estimate is biased.
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Judy
27 days ago
A) All parameter estimates are biased.
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Gaston
2 months ago
Interesting point, but wouldn't biased parameter estimates affect the overall accuracy of the model?
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Dominga
2 months ago
I disagree, I believe only the non-intercept parameter estimates are biased in this case.
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Quentin
2 months 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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Dylan
1 months ago
D) Sensitivity estimates are biased.
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Francesco
1 months ago
C) Only the non-intercept parameter estimates are biased.
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Veta
1 months ago
B) Only the intercept estimate is biased.
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Chanel
2 months ago
A) All parameter estimates are biased.
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Vi
2 months ago
I agree with Renea. The intercept estimate will be unbiased, but the other parameter estimates will be biased.
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Gaston
2 months ago
I think the problem with disproportionately representing rare events is that all parameter estimates are biased.
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Renea
2 months 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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Cyndy
1 months ago
No, only the non-intercept parameter estimates are biased.
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Felicia
1 months ago
So, all parameter estimates are not biased in this case?
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Marisha
1 months ago
Yes, when the event/non-event split is disproportionate, the non-intercept parameter estimates will be biased.
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Felicia
2 months ago
I think option C is correct.
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