Linear mixed models (LMMs) serve as a versatile statistical framework, combining fixed effects that capture the overall trends with random effects that account for variability across subjects, ...

Linear mixed-effects models are frequently used to analyze repeated measures data, because they model flexibly the within-subject correlation often present in this type of data. The most popular ...

Keywords: Statistical analyses. Regression models. Post-earthquake ignitions. Data analyses. California. Ground shaking. Generalized linear mixed models. Goodness-of ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 80, No. 4 (2018), pp. 817-836 (20 pages) The problem of misspecification poses challenges in model selection. The ...