Medicine and Health Sciences Commons^™

Analyzing Clustered Data: Why And How To Account For Multiple Observations Nested Within A Study Participant?, Erika L. Moen, Catherine J. Fricano-Kugler, Bryan W. Luikart, A. James O’Malley

Dartmouth Scholarship

A conventional study design among medical and biological experimentalists involves col- lecting multiple measurements from a study subject. For example, experiments utilizing mouse models in neuroscience often involve collecting multiple neuron measurements per mouse to increase the number of observations without requiring a large number of mice. This leads to a form of statistical dependence referred to as clustering. Inappropriate analy- ses of clustered data have resulted in several recent critiques of neuroscience research that suggest the bar for statistical analyses within the field is set too low. We compare naïve ana- lytical approaches to marginal, fixed-effect, and mixed-effect models …