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

@_Alex_Bisson_ @seamus_holden @StanLazic If you want to take full advantage of all the cell-level (dependent) measurements, you can use multi-level modeling to get more power out of your analysis. But in some scenarios, you get identical results as a t-tes

RT @jvveenvliet: @eLife @KurianLab Important guidelines, but missing an extensive discussion of how to detect and address nested data: eg h…

RT @jvveenvliet: @eLife @KurianLab Important guidelines, but missing an extensive discussion of how to detect and address nested data: eg h…

@eLife @KurianLab Important guidelines, but missing an extensive discussion of how to detect and address nested data: eg https://t.co/WjFyzcLscR & https://t.co/R24j35lZr0