Hi, This is a naive question, and it's definitely time for me to revisit stat101... I collected health utility data (range 0-1) from a cohort of patients, and there is no control group in this study. I would like to compare the data collected against 1 published literature controlling for age and sex. However, the published literature only has summary statistics, i.e. mean and standard deviation, and there is also no information on the shape of its data distribution (could be normal, or could be beta?) If we move beyond the point of whether it's appropriate to perform such a comparison (ie. ideally, a control group should have been recruited at the same time). May I know what approach and proc to test whether my data is different from the published literature? Thank you. example: data sample; input ID age sex health_u; cards; 1 18 1 0.75 2 22 1 0.6 3 40 2 0.88 4 50 1 0.65 5 35 2 0.9 6 51 2 0.6 7 33 1 0.8 ; example published literature to compare: age group "16-25" sex=1 mean_health_u=0.76 stdev=0.1; age group "16-25" sex=2 mean_health_u=0.71 stdev=0.06; age group "26-35" sex=1 mean_health_u=0.8 stdev=0.10; age group "26-35" sex=2 mean_health_u=0.6 stdev=0.08;...
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