welcome redditors!to snoo-finity ... *and beyond!*

NBME 21 Answers

nbme21/Block 4/Question#11

A study is conducted on patients with asthma to ...

If the treatment really changes the mean asthma score by 0.4, there is an 80% chance that a study of this size will find a p-value < 0.05

A study is conducted on patients with asthma to ...

If the treatment really changes the mean asthma score by 0.4, there is an 80% chance that a study of this size will find a p-value < 0.05

Login to comment/vote.

Basically this question just asks "what is power" and asks you to explain that 80% power. Power is 1 - beta (type 2 error), basically when a difference exists and the null hypothesis is rejected is power. So if the Rx detects a mean difference of 0.4 in asthma in the patients in the treatment group, then that data falls in the 80% power range, and its significance is 95% (p<0.05), P value is just the probability of something happening by chance, so you what this to be less that 5% so whatever you observed isn't bullshit.

I hope this helped, and correct me if I'm wrong.

privatejoker
This one took me a minute and was during the last block so my brain was already fried. But my reasoning was that, as stated above, since it gave you power, it is basically just a long-winded way of asking what Power is, and how this relates to p-value. P-value is the odds that the finding was due to chance alone. Obviously a p-value set to <0.05 implies a greater than 95% chance that the finding is legit. Since the power is said to be 80%, this means that there is an 80% chance that the study finding is legit, at least insomuch that it met the pre-set criteria of being 95% non-chance related.
+

sahusema
80% chance (power) the study correctly identifies the existence of an association in reality. If an association is determined to exist, >95% chance the study and reality agree with each other (p<.05)
+

submitted by nosancuck(38), 2019-05-27T15:14:15Z

Black Powah!

Powah = 1 - BETA = da rate of dem TRUE POSITIVES; wuz da rate at which you get da true positives across a buncha studies? 80% here bruh