SAS A00-240 Exam - Topic 4 Question 110 Discussion

Actual exam question for SAS's A00-240 exam

Question #: 110
Topic #: 4

Suppose training data are oversampled in the event group to make the number of events and non-events roughly equal. A logistic regression is run and the probabilities are output to a data set NEW and given the variable name PE. A decision rule considered is, "Classify data as an event if probability is greater than 0.5." Also the data set NEW contains a variable TG that indicates whether there is an event (1=Event, 0= No event).

The following SAS program was used.

What does this program calculate?

ADepth

BSensitivity

CSpecificity

DPositive predictive value

Show Suggested Answer

Suggested Answer: B

by Donte at Apr 05, 2025, 07:40 PM

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Maricela

2 months ago

I thought specificity was the focus here, interesting!

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Tamar

3 months ago

Wait, are we sure it's not positive predictive value?

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Vallie

3 months ago

Definitely sensitivity, no doubt about it!

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Peter

3 months ago

Totally agree, it's all about true positives!

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Johna

3 months ago

This program calculates sensitivity.

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Azzie

4 months ago

I'm a bit confused. I thought depth was related to the model's performance, but I can't recall how it fits in this context.

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Nida

4 months ago

I feel like it could also be about positive predictive value since we're looking at probabilities and actual events.

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Maynard

4 months ago

I remember practicing a similar question where we had to determine specificity. I wonder if this is about that instead?

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Rosenda

4 months ago

I think the program is calculating sensitivity, but I'm not entirely sure. It seems like it relates to how well we identify true events.

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Janella

4 months ago

Hmm, I'm not sure about that. The question asks what the program calculates, and the options include specificity and positive predictive value as well. I'll need to review the definitions of these performance metrics to determine the correct answer.

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Annabelle

5 months ago

Okay, I think I've got it. The program is calculating the sensitivity, which is the proportion of actual events that are correctly identified as events by the model. The decision rule of classifying as an event if probability is greater than 0.5 is a common one.

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Danica

5 months ago

I'm a bit confused by the oversampling part - does that mean the model is biased? And what exactly is the decision rule they're using to classify the data? I'll need to think this through carefully.

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Buddy

5 months ago

Hmm, this looks like a question on evaluating the performance of a logistic regression model. I think the key is to understand what the SAS program is calculating based on the given information.

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Enola

10 months ago

Hmm, this looks like a job for my trusty sidekick, the Logistic Regression Superhero! I bet he knows the answer. Hang on, let me consult my Logistic Regression Handbook... Aha! It's Sensitivity, of course!

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