A solution to dependency: using multilevel analysis to accommodate nested data

@article{Aarts2014AST,
  title={A solution to dependency: using multilevel analysis to accommodate nested data},
  author={Emmeke Aarts and Matthijs Verhage and Jesse V Veenvliet and Conor V. Dolan and Sophie Van der Sluis},
  journal={Nature Neuroscience},
  year={2014},
  volume={17},
  pages={491-496}
}
In neuroscience, experimental designs in which multiple observations are collected from a single research object (for example, multiple neurons from one animal) are common: 53% of 314 reviewed papers from five renowned journals included this type of data. These so-called 'nested designs' yield data that cannot be considered to be independent, and so violate the independency assumption of conventional statistical methods such as the t test. Ignoring this dependency results in a probability of… CONTINUE READING
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