Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8840444 | Journal of Neuroscience Methods | 2018 | 18 Pages |
Abstract
We highlight the importance of data structure in dendritic spine morphology analyses and highly recommend the use of mixed-effects models or other appropriate statistical methods to deal with multilevel datasets. Mixed-effects models are easy to use and superior to commonly used methods by including the data structure and the addition of other explanatory variables, for example sex, and age, etc., as well as interactions between variables or between variables and level identifiers.
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Life Sciences
Neuroscience
Neuroscience (General)
Authors
Veerle Paternoster, Anto P. Rajkumar, Jens Randel Nyengaard, Anders Dupont Børglum, Jakob Grove, Jane Hvarregaard Christensen,