False Discovery Rate (FDR) - How To Calculate It

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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
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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.

[@mohsinrajib6355]

Really great work. Great animation and clear understanding.

[@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.

[@marijan654]

This helped me a lot, thanks man 💪💪

[@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.

[@Favour_Oyelami]

Thanks. This was really helpful. God bless you.

[@roytraz1371]

bruh, have a Like

[@dipalikale2052]

Hi, is q value and FDR same?

[@mohammadj.shamim9342]

yes

[@sherifgerges9316]

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[@콘충이]

Thanks! how simple it is

[@Med.School.Survival]

🙂

[@hadarganor]

you are the MAN!!!!

[@Med.School.Survival]

thanks!