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thank you for sharing your knowledge, you explained very well and have a great tone of voice.
Excellent explanation, thanks for sharing.
very instructive and useful, thanks for sharing!
Very helpful presentation!Thanks.
thank you so much...you are too good at explaining things....subscribed to learn bio-statistics... thanks once again
It eliminates confounding variables. Usually, you remove confounding variables. They confound. You can't leave them in.
thank you so much
Thank you for sharing. It has been very informative and easily understandable. Could you include some references for reading and citation as well?
Thanks!
very usuful thanx alot
thank you mam
so is the Randomozation population and Intent to treat population same? I am confused.
No..ITT just means if smbdy was in sm particular arm initially and jumps or drops out..they are still analyzed as their initial arm
Thank you very much
thank you for sharing your knowledge, you explained very well and have a great tone of voice.
Excellent explanation, thanks for sharing.
very instructive and useful, thanks for sharing!
Very helpful presentation!
Thanks.
thank you so much...you are too good at explaining things....subscribed to learn bio-statistics... thanks once again
It eliminates confounding variables. Usually, you remove confounding variables. They confound. You can't leave them in.
thank you so much
Thank you for sharing. It has been very informative and easily understandable. Could you include some references for reading and citation as well?
Thanks!
very usuful thanx alot
thank you mam
so is the Randomozation population and Intent to treat population same? I am confused.
No..ITT just means if smbdy was in sm particular arm initially and jumps or drops out..they are still analyzed as their initial arm
Thank you very much