Multilevel analysis quantifies variation in the experimental effect while optimizing power and preventing false positives

Published 2015 View Full Article

Authors

Keywords

Multilevel analysis, False positive rate, Pseudo-replication, Statistical power, Hierarchical data, Clustered data, Optimal research design, Experimental effect, Neuroscience

Journal

BMC NEUROSCIENCE

Volume 16, Issue 1, Pages -

Publisher

Springer Nature

Online

2015-12-19

DOI

10.1186/s12868-015-0228-5

References

View 6 related references

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started