Timeline for How to calculate required sample size for desired false negative rate
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Jul 21 at 19:14 | answer | added | EdM | timeline score: 3 | |
| Jul 20 at 2:57 | history | edited | Alex Cavanaugh | CC BY-SA 4.0 |
added 68 characters in body
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| Jul 20 at 2:55 | comment | added | usεr11852 | I think you need to reformulate this in terms of MDE (Minimum Detectable Effect). Then go from there. | |
| Jul 20 at 2:52 | comment | added | EdM | Welcome to Cross Validated! To avoid confusion, could you please include a link to your source for that sample-size estimate? Note that the false-negative and true-positive rates aren't determined by the model itself, but by the probability cutoff that you choose to distinguish the groups after modeling. You can make a false-negative rate as low as you'd like by adjusting that cutoff, at the cost of adding false positives. With a good probability model, you can choose a probability cutoff to balance the relative costs of all types of (mis-)assignments. | |
| S Jul 20 at 1:48 | review | First questions | |||
| Jul 20 at 2:32 | |||||
| S Jul 20 at 1:48 | history | asked | Alex Cavanaugh | CC BY-SA 4.0 |