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A researcher is planning a logistic regression to model the probability of disease occurrence. The researcher determines the rate of disease occurrence in the population is 1%.
For which of the following would this study be a candidate?
Suggested Answer: C
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13 comments · newest first
RO
Rory
11 months ago
Overfitting might be a concern too, right?
PA
Pauline
11 months ago
Definitely a candidate for oversampling, no doubt!
RE
Renay
12 months ago
Wait, isn't multicollinearity more about variable relationships?
AM
Ammie
12 months ago
I think oversampling could help with that!
EA
Earleen
1 year ago
The disease occurrence rate is super low at 1%.
LA
Lashandra
1 year ago
A simple random sample sounds like a standard approach, but I feel like the focus on disease occurrence might steer us towards oversampling instead.
JE
Jenelle
1 year ago
Multicollinearity seems less likely to be a concern with just one outcome variable, but I could be mixing it up with other concepts we studied.
FR
Francene
1 year ago
I think oversampling might be relevant here since the disease occurrence is so low, but I'm not entirely sure how it applies specifically to this question.
LE
Lenna
1 year ago
I remember we talked about how low event rates can lead to issues like overfitting in logistic regression.
DO
Doug
1 year ago
This seems like a straightforward question about the purpose of conflict resolution. I'll think through the options carefully and choose the one that best matches the definition I know.
TI
Timothy
1 year ago
I'm pretty sure the service value chain is about converting inputs into outputs, so I think option B is the correct answer.
NY
Nydia
1 year ago
This seems like a straightforward question about project closure planning. I think I can tackle this one.
GL
Glynda
1 year ago
I remember something about residual risk being the leftover risk after controls. So C makes sense, but I'm not entirely confident about it.