ASA Connect

Hello all,

I have 1510 observations where there are 195 cases and 1315 controls. I want to create a randomized data set where cases and controls are matched on age and Gender. I want to keep all the IAT as they are less in number. I would like to match cases and controls in 1:4 ratio. I have variables such as Id, Group (where 1=Case and 2=control), Sex(1=F and 2=M), age, and some other outcome variables which we want to compare between case and Control group after the data set is randomized. I have STATA 14 version. What would be the best way to do this? Any insight is highly appreciated.

Thanks,

PA

Hello all,

I have 1510 observations where there are 195 cases and 1315 controls. I want to create a randomized data set where cases and controls are matched on age and Gender. I want to keep all the IAT as they are less in number. I would like to match cases and controls in 1:4 ratio. I have variables such as Id, Group (where 1=Case and 2=control), Sex(1=F and 2=M), age, and some other outcome variables which we want to compare between case and Control group after the data set is randomized. I have STATA 14 version. What would be the best way to do this? Any insight is highly appreciated.

Thanks,

PA

Hello all,

I have 1510 observations where there are 195 cases and 1315 controls. I want to create a randomized data set where cases and controls are matched on age and Gender. I want to keep all the IAT as they are less in number. I would like to match cases and controls in 1:4 ratio. I have variables such as Id, Group (where 1=Case and 2=control), Sex(1=F and 2=M), age, and some other outcome variables which we want to compare between case and Control group after the data set is randomized. I have STATA 14 version. What would be the best way to do this? Any insight is highly appreciated.

Thanks,

PA

Hello all,

I have 1510 observations where there are 195 cases and 1315 controls. I want to create a randomized data set where cases and controls are matched on age and Gender. I want to keep all the IAT as they are less in number. I would like to match cases and controls in 1:4 ratio. I have variables such as Id, Group (where 1=Case and 2=control), Sex(1=F and 2=M), age, and some other outcome variables which we want to compare between case and Control group after the data set is randomized. I have STATA 14 version. What would be the best way to do this? Any insight is highly appreciated.

Thanks,

PA

If you have already collected the 1510 observations, you've already spent the money, so why not try to keep all of them? For example, if you have two cases and 12 controls who are 55-year-old females, they are matched for sex and age. Why select 8 controls for the two cases and throw away 4 controls? Why not keep them all?

Hello all,

I have 1510 observations where there are 195 cases and 1315 controls. I want to create a randomized data set where cases and controls are matched on age and Gender. I want to keep all the IAT as they are less in number. I would like to match cases and controls in 1:4 ratio. I have variables such as Id, Group (where 1=Case and 2=control), Sex(1=F and 2=M), age, and some other outcome variables which we want to compare between case and Control group after the data set is randomized. I have STATA 14 version. What would be the best way to do this? Any insight is highly appreciated.

Thanks,

PA