Would anyone be able to recommend me any reference dedicated to determining False Discovery Rate? In the literature (social sciences), it is set at 0.05-0.1; I am mainly interested in learning in which situations it can be less conservative.
Setting the False Discovery Rate (FDR) at 0.1 can be appropriate in several situations, especially when the research context prioritizes a higher sensitivity to detect potentially relevant findings. Here are some scenarios where a less conservative FDR threshold of 0.1 might be applicable:
It is important to note that the choice of FDR threshold should be made based on the specific research context, objectives, and the acceptable balance between false positives and false negatives. The appropriateness of a particular threshold can vary across disciplines and research fields.
Regarding references on determining the False Discovery Rate, here are a few resources that can provide more insights into the topic:
These references discuss the theoretical foundations and methodologies for controlling the FDR in statistical analysis. They can provide a solid starting point for understanding and determining the False Discovery Rate in your research.
- Badges
- Science topic
- Similar topics
- Microbiology
- Assays