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!
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.
Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
Find more tutorials on the SAS Users YouTube channel.