Some say yes,
Some no,
Some high,
Some low.
So may they help Randy out?
To predict where Anton is?
Quite so, they just might,
Find him in all of this.
If your risk goes higher,
You may be on fire,
So you compute the cumulative incidence rate,
And wonder if it’ll take the bait.
Much like Randy wants Anton by the hook.
So he calculative the risks over time by the book,
Now will this lesson stick?
Look at this work for the final kick.
But will get to a poem next week 😉 Meanwhile. how is this place for a table script reading?
What you find may be true,
But what you may not may be as well.
So we have sensitivity and specificity,
To help us tell.
And the ROC may help Randy too,
If it last he wants Anton for a find.
Whether he’s dominating the world,
Or at a sandwich shop, choosing a kind.
Is it the all?
So many have asked,
And have said it depend on size,
and on the task.
And what could Randy gain from the p-value?
He might see a world set apart?
As significantly likely to have Anton in it.
So such would be a good place to start.
What’s alike and what’s not.
How much cooler or more hot,
May one world be from another,
With the T-test we can bother.
So how can it help Randy’s case?
Well, if the realms are different, a quicker end to the chase,
The target being closer at hand,
If between realms, we may distinguish and understand.
Out of This Dimension 