Article

Using GAMMs to model trial-by-trial fluctuations in experimental data: More risks but hardly any benefit

2020-08-21

Abstract excerpt

<p>Data from each subject in a repeated-measures experiment form a time series, which may include trial-by-trial fluctuations arising from human factors such as practice or fatigue. Concerns about the statistical implications of such effects have increased the popularity of Generalized Additive Mixed Models (GAMMs), a powerful technique for modeling wiggly patterns. We question these statistical concerns and inves...

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Literature Corpus work: e180375c-6c74-573b-a944-ac1518e30a9e
DOI: 10.31234/osf.io/ywkeq

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