I am a medical student and your videos are my go to when I want to brush up or learn about biostatistics and the like. They're so simple and easy to follow. They all make sense. Thank you Dr. Shaneyfelt.
Thank you. So if we are asked to plot out the post test, we need to dcide first what is our aim: role in disease (hence, we should use the positive likelyhood ration) or role put ( negative test)? Can"t thank you enough.
Very nice explanation. In your example of infection I was wondering about using C reactive protein to rule out infection because the CI includes 1. Shouldn't I try to avoid tests that include 1 in the CI?
pure gold - you are the godfather of applied medical statistics
I am a medical student and your videos are my go to when I want to brush up or learn about biostatistics and the like. They're so simple and easy to follow. They all make sense. Thank you Dr. Shaneyfelt.
The best video about likelihood ratio I’ve ever seen. Short and straight to the point.
This is the first time I actually manage to understand this material. Thank you!
Thank you! I've read so many websites - this is the first time I clearly understood this.
Thanks Terry - very helpful video, explained clearly and simply.
My Godd!! I only graduated 24 years back and finally I get it.
Thank you professor for explaining this to us.
Simplified and well-presented.
Great material! Thank you so much
Thank you, this is really helpful
these videos are very helpful!
Thanks a lot from Brazil!!!!!
Subscribed due to this video. Brilliant and easy.
Unbelievably helpful.
fantastic !!!
Good one..!!
Thanks for the explanation. Is It possible that the Negative Likeli Hood Ratio is - 1? Or does It have to be >/= 0?
Thank you. So if we are asked to plot out the post test, we need to dcide first what is our aim: role in disease (hence, we should use the positive likelyhood ration) or role put ( negative test)?
Can"t thank you enough.
Thanks proffessor
Where can you find the LRs from the most representative tests used in the clinical setting?
Thank you so much
clear.useful
very goog , good job
Very nice explanation. In your example of infection I was wondering about using C reactive protein to rule out infection because the CI includes 1. Shouldn't I try to avoid tests that include 1 in the CI?
Yes
For the negative likelihood ratios all the confidence intervals cross one, so none of them should be used to rule out infection
seems a correct conclusion in my view. Thanks.
If as an example the negative likelihood ratio is between - 0.5 to - 1.5 then it does not cross 1.so not necessarily
thank you so much^-^
Hello there, is the likelihood ratio posttest probability equivalent to positive predictive value?
Yes assuming the test was positive and you used the positive likelihood ratio
Terry Shaneyfelt Thank you for the response!
So you're saying likelihood+ = P(E | H) / P(E | not H), and likelihood- = P(not E | H) / P(not E | not H)?
So it's just a Bayesian update.