Hi
I have a question about testing proportions in STATA. See table below.
Basically, I am comparing rates of treatment benefit in different conditions. They are not mutually exclusive, as an individual may have benefited from treatment both for a neuro and MSK condition.
I am reporting percentages.
I am in survey mode, and am having trouble figuring out how to best test that the proportions' differences are statistically significant.
I am most interested in showing that MSK is different than the others.
1) What is the best statistical test for this and how to do it?
2) Is there any way to do a global test of proportions (an F-test I suppose)?
3) Is there any way to directly compare musculoskeletal to the next highest category such as:
ttest musculoskeletal = miscellaneous
Thanks so much.
Ezra
Thanks
Ezra
I have a question about testing proportions in STATA. See table below.
Basically, I am comparing rates of treatment benefit in different conditions. They are not mutually exclusive, as an individual may have benefited from treatment both for a neuro and MSK condition.
I am reporting percentages.
I am in survey mode, and am having trouble figuring out how to best test that the proportions' differences are statistically significant.
I am most interested in showing that MSK is different than the others.
1) What is the best statistical test for this and how to do it?
2) Is there any way to do a global test of proportions (an F-test I suppose)?
3) Is there any way to directly compare musculoskeletal to the next highest category such as:
ttest musculoskeletal = miscellaneous
Thanks so much.
Ezra
Total N = 2,616,637 | Used treatment for a specific problem and did not benefit a great deal | Used treatment for a specific problem and benefited a great deal | |
Estimated US population size | 1,456,420 (55.7) | 1,160,217 (44.3) | |
Musculoskeletal | 32.35 | 67.65 | |
Miscellaneous | 40.12 | 59.88 | |
ID | 44.62 | 55.38 | |
Allergy | 51.17 | 48.83 | |
Neurological | 52.11 | 47.89 | |
Psychiatric | 55.64 | 44.36 | |
Gastrointestinal | 59.89 | 40.11 | |
Endocrine | 68.92 | 31.08 | |
Gynecological | 74.71 | 25.29 | |
Respiratory | 77.76 | 22.24 | |
Dental | 79.95 | 20.05 | |
Hematological (N= 0) | |||
Cardiovascular (N=0) | |||
Thanks
Ezra