Saturday, January 25, 2020 6:44:07 AM
Hi
you guys will hear more about SARS in a few days / weeks
then you'll understand why current run up is linked to it as some smart funds are playing coronavirus fear,
then you'll have a communicate from Cel SCI who will find some interest into this,
Not sayin' it will be the only interest, but just an opportunistic one
Jmho but mark this post
Have a good WE
Fosco
PS : regarding the early termination posts : no way it can happen whatever the effect size. This is an event driven study, you need to wait for 298 as per the protocol, even if early significance is reached with limited sample size, pharma need to stick to protocol as agreed with FDA. There is no such thing as 3 year measurement of efficacy or survival. It is all about having p<0.05 with sample of 298 events, eg logrank test on survival curves which is measuring the gap between two plots of data, if you stop earlier you are breaking the protocol, reducing the sample size, increasing the standard error which gives an estimate for the efficacy etc...
you guys will hear more about SARS in a few days / weeks
then you'll understand why current run up is linked to it as some smart funds are playing coronavirus fear,
then you'll have a communicate from Cel SCI who will find some interest into this,
Not sayin' it will be the only interest, but just an opportunistic one
Jmho but mark this post
Have a good WE
Fosco
PS : regarding the early termination posts : no way it can happen whatever the effect size. This is an event driven study, you need to wait for 298 as per the protocol, even if early significance is reached with limited sample size, pharma need to stick to protocol as agreed with FDA. There is no such thing as 3 year measurement of efficacy or survival. It is all about having p<0.05 with sample of 298 events, eg logrank test on survival curves which is measuring the gap between two plots of data, if you stop earlier you are breaking the protocol, reducing the sample size, increasing the standard error which gives an estimate for the efficacy etc...
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