For table one using weighted survey database.
using tabout, how to code for a table output that includes multiple variables . In the final table, i am looking for the mean of each continious covariate along with 95% CI and p value.
Here is the code i use.
The code above allows for comparing only one variable for instance (age) but i am not able to list many variables, e.g (weight and height) along with age
1) How to update the code the way i can measure different variables, e.g on the final table to get mean, CI, SE for all variables listed and then compare them among the 2 groups of outcome
2) how to get p values using any test for comparison .
3) Is there a code that can adds effect size to table one using survey data
If tabout command does not work, then would appreciate your suggestion for an alternate method that accounts for the survey structure e.g includes weight.
Appreciate your help
Thanks
using tabout, how to code for a table output that includes multiple variables . In the final table, i am looking for the mean of each continious covariate along with 95% CI and p value.
Here is the code i use.
Code:
tabout outcome using "results.xls" if sample ==1, replace c(mean AGE se ci) f(2 2) sum svy nwt(weight)
1) How to update the code the way i can measure different variables, e.g on the final table to get mean, CI, SE for all variables listed and then compare them among the 2 groups of outcome
2) how to get p values using any test for comparison .
3) Is there a code that can adds effect size to table one using survey data
If tabout command does not work, then would appreciate your suggestion for an alternate method that accounts for the survey structure e.g includes weight.
Appreciate your help
Thanks
