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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?
Suggested Answer: B
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29 comments · newest first
MA
Maricela
10 months ago
I thought specificity was the focus here, interesting!
TA
Tamar
10 months ago
Wait, are we sure it's not positive predictive value?
VA
Vallie
11 months ago
Definitely sensitivity, no doubt about it!
PE
Peter
11 months ago
Totally agree, it's all about true positives!
JO
Johna
11 months ago
This program calculates sensitivity.
AZ
Azzie
11 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.
NI
Nida
12 months ago
I feel like it could also be about positive predictive value since we're looking at probabilities and actual events.
MA
Maynard
12 months ago
I remember practicing a similar question where we had to determine specificity. I wonder if this is about that instead?
RO
Rosenda
1 year 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.
JA
Janella
1 year 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.
AN
Annabelle
1 year 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.
DA
Danica
1 year 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.
BU
Buddy
1 year 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.
EN
Enola
1 year 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!
ON
Oneida
1 year ago
Let's double-check the Logistic Regression Handbook just to be sure. But I'm leaning towards Sensitivity too.
VI
Vivan
1 year ago
I'm pretty confident it's Sensitivity. The Logistic Regression Superhero never fails!
TA
Tayna
1 year ago
Are you sure it's Sensitivity? I think it might be Specificity.
LI
Lilli
2 years ago
I see your point, but I still think it's Sensitivity because it's about correctly identifying events.
AD
Adelle
2 years ago
Olivia
NA
Natalie
1 year ago
D) Positive predictive value
HA
Harley
1 year ago
C) Specificity
LE
Lewis
1 year ago
B) Sensitivity
IZ
Izetta
1 year ago
A) Depth
SU
Susana
1 year ago
D) Positive predictive value
BR
Brandon
1 year ago
C) Specificity
RO
Rozella
1 year ago
B) Sensitivity
CA
Candida
2 years ago
A) Depth
JA
Jaclyn
2 years ago
I believe it calculates Specificity.
LI
Lilli
2 years ago
I think this program calculates Sensitivity.