preganante
how is pragent formed?
Submitted 11 months ago by fossilesque@mander.xyz to science_memes@mander.xyz
https://mander.xyz/pictrs/image/f6bc4b69-84e5-4d84-866e-294f41a3b748.jpeg
Comments
Carvex@lemmy.world 11 months ago
Huschke@lemmy.world 11 months ago
Or am I OK?
charonn0@startrek.website 11 months ago
How is babby formed?
ken_cleanairsystems@lemmy.sdf.org 11 months ago
They need to do way instain mother who kill their babby
pigup@lemmy.world 11 months ago
And these baby can no friggith back?!?
JoBo@feddit.uk 11 months ago
I’m going to have to object. We don’t use “false positive” and “false negative” as synonyms for Type I and Type II error because they’re not the same thing. The difference is at the heart of the misuse of p-values by so many researchers, and the root of the so-called replication crisis.
Type I error is the risk of falsely concluding that the quantities being compared are meaningfully different when they are not, in fact, meaningfully different. Type II error is the risk of falsely concluding that they are essentially equivalent when they are not, in fact, essentially equivalent. Both are conditional probabilities; you can only get a Type I error when the things are, in truth, essentially equivalent and you can only get a Type II error when they are, in truth, meaningfully different. We define Type I and Type II errors as part of the design of a trial. We cannot calculate the risk of a false positive or a false negative without knowing the probability that the two things are meaningfully different.
This may be a little easier to follow with an example:
Let’s say we have designed an RCT to compare two treatments with Type I error of 0.05 (95% confidence) and Type II error of 0.1 (90% power). Let’s also say that this is the first large phase 3 trial of a promising drug and we know from experience with thousands of similar trials in this context that the new drug will turn out to be meaningfully different from control around 10% of the time.
So, in a 1000 trials of this sort, 100 trials will be comparing drugs which are meaningfully different and we will get a false negative for 10 of them (because we only have 90% power). 900 trials will be comparing drugs which are essentially equivalent and we will get a false positive for 45 of them (because we only have 95% confidence).
The false positive rate is 45/135 (33.3%), nowhere near the 5% Type I error we designed the trial with.
Statisticians are awful at naming things. But there is a reason we don’t give these error rates the nice, intuitive names you’d expect. Unfortunately we’re also awful at explaining things properly, so the misunderstanding has persisted anyway.
This is a useful page which runs through much the same ideas as the paper linked above but in simpler terms: The p value and the base rate fallacy
And this paper tries to rescue p-values from oblivion by calling for 0.005 to replace the usual 0.05 threshold for alpha: Redefine statistical significance.
pigup@lemmy.world 11 months ago
Potatos_are_not_friends@lemmy.world 11 months ago
I hate that for a decade, I keep forgetting the differences or how to explain it. And this meme is how I finally learned it.
blanketswithsmallpox@lemmy.world 11 months ago
Nobody’s going to mention that poor dude has ball cancer?
Fortuitous false positive.
False POSITIVE.
GUBERNACULUM@lemmy.world 11 months ago
I feel like this joke is too nuanced for your average nonmedical person to get. But I dig it, thank you.
GBU_28@lemm.ee 11 months ago
Babby
Damaskox@kbin.social 11 months ago
A YouTube video about this thing (I believe)
RavenFellBlade@startrek.website 11 months ago
Dangerops prangent sex? will it hurt baby top of his head?
theodewere@kbin.social 11 months ago
his whole world changed in an instant
RIP_Cheems@lemmy.world 11 months ago
“…your just fat”
Frozengyro@lemmy.world 11 months ago
My just fat what?
RIP_Cheems@lemmy.world 11 months ago
It was a joke for the false negative
odium@programming.dev 11 months ago
Confusion matrices are beautiful
shath@hexbear.net 11 months ago
how praginet get does babby appear am I/??
RavenFellBlade@startrek.website 11 months ago
Purgernant
EndHD@lemm.ee 11 months ago
better than any mnemonics the professors used back in uni
shiveyarbles@beehaw.org 11 months ago
Ummm you’re just fat
Mr_Fish@lemmy.world 11 months ago
If a women has starch masks on her body, does that mean she has been pargnet before.?
dalekcaan@lemm.ee 11 months ago
how do u use a Luigi bored?
Xttweaponttx@sh.itjust.works 11 months ago
Period question mark.