Misspecifying the Shape of a Random Effects Distribution: Why Getting It Wrong May Not Matter
Work
Year: 2011
Type: article
Abstract: Statistical models that include random effects are commonly used to analyze longitudinal and correlated data, often with strong and parametric assumptions about the random effects distribution. There ... more
Source: Statistical Science
Authors Charles E. McCulloch, John Neuhaus
Institution Berry (United States)
Cites: 54
Cited by: 227
Related to: 10
FWCI: 6.37
Citation percentile (by year/subfield): 94.94
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: bronze