Hey excellent. Please I have a question. After using the proc mianalyze, Which dataset do I use to perform analysis. I mean which dataset contains the combined imputation values from all 100 imputations. Thanks
Thank you for presentation. It is very helpful. But, as you have mentioned that , MI technique should not be used for primary analysis and should be used for sensitivity analysis. As per ICH E9 , I think primary analysis can be performed with missing imputation and for robustness of result we should perform sensitivity without missing imputation.
This presentation is very helpful. Thank you.
excellent thank you so much Swapnil
Really good please keep it up...
Hey excellent. Please I have a question. After using the proc mianalyze, Which dataset do I use to perform analysis. I mean which dataset contains the combined imputation values from all 100 imputations.
Thanks
Excellent presentation.
Can you make a video on tipping point analysis please ?
The flow chart of MI using SAS filled in a gap for me that multiple SUGI papers didn't. Thanks
Thank you sir.
Thank you
Thank you for presentation. It is very helpful. But, as you have mentioned that , MI technique should not be used for primary analysis and should be used for sensitivity analysis. As per ICH E9 , I think primary analysis can be performed with missing imputation and for robustness of result we should perform sensitivity without missing imputation.