The coefficient for sex is the difference in constants in the statistician 2's results.
The coefficient for sex is the difference in constants in the statistician 2's results.
Sex affects true weight, not initial or final weight (except through true weight).
True weight is unmeasured.
Sex affects true weight, not initial or final weight (except through true weight).
True weight is unmeasured.
Seems to apply here.
Can't find it on youtube, but:
Seems to apply here.
Can't find it on youtube, but:
I did *not* conclude that more research was needed.
If anything, less research was needed.
I did *not* conclude that more research was needed.
If anything, less research was needed.
I re-ran with Z~N(0,1) - took out "if `run'", otherwise same code.
Now I just think "it was chance".
Also, why not 1.96*MCSE in graph?
I re-ran with Z~N(0,1) - took out "if `run'", otherwise same code.
Now I just think "it was chance".
Also, why not 1.96*MCSE in graph?
Fewer recurrences, primary cancers, deaths from all causes...
I'd like to know *how* the randomisation was done (computer, phone line etc.), but whatever.
Fewer recurrences, primary cancers, deaths from all causes...
I'd like to know *how* the randomisation was done (computer, phone line etc.), but whatever.
Headline aside, I didn't see anything immediately obviously wrong with the trial, which is really surprising given the results.
I initially thought, "they probably just did per protocol", but nope, ITT.
Headline aside, I didn't see anything immediately obviously wrong with the trial, which is really surprising given the results.
I initially thought, "they probably just did per protocol", but nope, ITT.
The outcome isn't the outcome from the RCT, it's the effect estimate from the RCT (how does the effect estimate change given some exposure).
BUT: there needs to be mechanistic evidence that the confounder IS a confounder, right?
Otherwise, it could be a moderator of the interaction.
The outcome isn't the outcome from the RCT, it's the effect estimate from the RCT (how does the effect estimate change given some exposure).
BUT: there needs to be mechanistic evidence that the confounder IS a confounder, right?
Otherwise, it could be a moderator of the interaction.
Add ^i over the brackets if you need an exponent factor.
Add ^i over the brackets if you need an exponent factor.
In my naive view, this is "fair dealing" - not depriving anyone of revenue.
In my naive view, this is "fair dealing" - not depriving anyone of revenue.
This graph shows the longest losing streak across each of the 10,000 simulations (remember, this is all to win £100 in total – that’s it):
12/n
This graph shows the longest losing streak across each of the 10,000 simulations (remember, this is all to win £100 in total – that’s it):
12/n
What would the % cancer free at 3 years have been for the 19 patients in the trial?
Without that, we can't know whether the treatment is effective.
What would the % cancer free at 3 years have been for the 19 patients in the trial?
Without that, we can't know whether the treatment is effective.
Their claim was in the discussion, which said:
"inasmuch as >30 million patients receive NSAIDs on a regular basis worldwide"
There is no reference.
13/n
Their claim was in the discussion, which said:
"inasmuch as >30 million patients receive NSAIDs on a regular basis worldwide"
There is no reference.
13/n
Orange references don’t have the claim, blue do, and green are websites.
12/n
Orange references don’t have the claim, blue do, and green are websites.
12/n
"30 million people take NSAIDs worldwide every day"
3/n
"30 million people take NSAIDs worldwide every day"
3/n