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Obsidian | Level 7

Hi all!

I have a data set with tumor sizes (in centemeter) measured by physicians for different patients. The data set is divided into two groups (randomized). So each patient is randomized to either group 1 or group 2. After the tumor size is predicted by the physician, it is compared to the gold standard (automated computer generated size).


I need to determine which group has a better accuracy/ or prediction closer to gold standard.


Can anyone suggest me a SAS procedure to compare two groups relative to the gold standard tumor size prediction?


Thank you so much!


Super User

Do you have the result of the "gold standard" comparison? How is the result recorded?

It may be that a good starting point would be a simple t-test of the mean difference percentage with the "gold standard".

Obsidian | Level 7

Thanks for the quick response. Yes, I do have the "gold standard" as size of tumor (in centemeter). Tumor size is measured in centemeter for group 1, group 2 and for "gold standard".

Super User

You have continuous data.

I would assume you would be creating a variable is the difference between the tumour and gold standard. And then evaluate the two groups by a variety of methods. A simple T-Test or proc NPAR1way to look at the difference between the distribution of the two groups. 





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