False Discovery Rate (FDR) - How To Calculate It

Olly Tree Applications presents USMLE Biostatistics... a unique, yet easy to use study tool for the USMLE. It is completely free and comes with absolutely no advertisements.
Currently only on Android.
play.google.co...
Our 2x2 sample table allows for quick calculations of up to 25 different biostatistics. Simply enter the required data into the highlighted boxes and the solution will appear. All of the most important equations are here - from absolute risk reduction to odds ratio to specificity.
As your knowledge and understanding of medical biostatistics grows, we suggest that you become accustomed to solving questions without the use of our 2x2 sample table. Also be sure to check out our flashcards, board review questions, and video lectures.
Key Concept:
So you want to change a patient’s current therapy because a new medication has a decreased risk of a particular side effect. That sounds reasonable, but have you taken other issues into consideration (e.g., efficacy, other adverse reactions, cost, etc.)? And how about the number needed to treat? Do you know how many patients would need to receive the new therapy as opposed to the old one before one patient less experiences the side effect? Determining the number needed to treat can be useful in clinical practice when analyzing the risk versus benefit between two therapies.
False Discovery Rate
=================
What is the definition?
The false discovery rate is the proportion of positive test results that incorrectly identify a condition.
What is the equation?
B / ( A + B)
How is it calculated?
The false discovery rate is calculated by dividing the number of false positives by the total number of positive tests.

[@sherifgerges9316]

These animals are gold. Cannot stress enough how good this is, thanks so much! Subscribed.

[@mohammadj.shamim9342]

IF I know the threshold, then what is the point of watching your video? what is FDR here 0.0084
0.0103
0.0104
0.0109
0.0131
0.0133
0.0226
0.0241
0.0259
0.0359
0.0422
0.0422
0.0443
0.0454
0.0461
0.0494
and why is bonferroni rejecting all, but FDR not? and how shall select FDR. Bonferroni is of course strait forward.

[@mohsinrajib6355]

Really great work. Great animation and clear understanding.

[@Favour_Oyelami]

Thanks. This was really helpful. God bless you.

[@marijan654]

This helped me a lot, thanks man 💪💪

[@콘충이]

Thanks! how simple it is

[@Med.School.Survival]

🙂

[@dipalikale2052]

Hi, is q value and FDR same?

[@mohammadj.shamim9342]

yes

[@hadarganor]

you are the MAN!!!!

[@Med.School.Survival]

thanks!

[@SH-zp7hn]

This was only half way helpful because in real life, we dont know how many Type 1 errors there are, so you need to give the process for estimating the type 1 errors.

[@roytraz1371]

bruh, have a Like