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smunigala
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!

Sat

3 REPLIES 3
ballardw
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".

smunigala
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".

Reeza
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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