model = Generalized linear mixed-effects model fit by PL Model information: Number of observations 1045 Fixed effects coefficients 12 Random effects coefficients 33 Covariance parameters 2 Distribution Normal Link Identity FitMethod MPL Formula: roa_xy_size ~ 1 + genotype*state + (1 | dx_squared) Model fit statistics: AIC BIC LogLikelihood Deviance 376.16 445.48 -174.08 348.16 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 1.0434 0.067974 15.35 1033 4.6977e-48 0.91 1.1768 {'genotype_wt_dual' } 0.31412 0.044938 6.9901 1033 4.9226e-12 0.22594 0.4023 {'state_is' } -0.0038536 0.043558 -0.08847 1033 0.92952 -0.089326 0.081619 {'state_nrem' } 0.0074506 0.043786 0.17016 1033 0.86492 -0.07847 0.093371 {'state_quiet' } -0.031313 0.041329 -0.75765 1033 0.44884 -0.11241 0.049785 {'state_rem' } -0.0073928 0.058552 -0.12626 1033 0.89955 -0.12229 0.1075 {'state_locomotion' } -0.018415 0.042214 -0.43623 1033 0.66276 -0.10125 0.06442 {'genotype_wt_dual:state_is' } -0.33016 0.05964 -5.536 1033 3.9242e-08 -0.44719 -0.21313 {'genotype_wt_dual:state_nrem' } -0.21438 0.059594 -3.5973 1033 0.00033671 -0.33132 -0.097441 {'genotype_wt_dual:state_quiet' } -0.19357 0.062766 -3.084 1033 0.0020968 -0.31673 -0.070405 {'genotype_wt_dual:state_rem' } -0.24223 0.072684 -3.3326 1033 0.00089085 -0.38485 -0.099603 {'genotype_wt_dual:state_locomotion'} 0.38863 0.064243 6.0493 1033 2.0309e-09 0.26257 0.51469 Random effects covariance parameters: Group: dx_squared (33 Levels) Name1 Name2 Type Estimate {'(Intercept)'} {'(Intercept)'} {'std'} 0.32852 Group: Error Name Estimate {'sqrt(Dispersion)'} 0.27437