This is a graduate-level course on multilevel modeling, a popular statistical approach in social, behavioral, and health sciences research. Multilevel modeling, also known as hierarchical linear ...
This study compared five common multilevel software packages via Monte Carlo simulation: HIM 7, Mplus 7.4, R (lme4 VI.1-12), Stata 14.1, and SAS 9.4 to determine how the programs differ in estimation ...
Multilevel Statistical Modeling for Proteomic Experiments With Complex Designs and Isobaric Labeling
Quantitative mass spectrometry-based proteomic experiments are designed to answer increasingly complex questions. For example, we may want to characterize changes in protein abundance in biological ...
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