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_dur ~ 1 + genotype*state + (1 | dx_squared) Model fit statistics: AIC BIC LogLikelihood Deviance 58.929 128.25 -15.465 30.929 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower {'(Intercept)' } -0.51902 0.047401 -10.949 1033 1.786e-26 -0.61203 {'genotype_wt_dual' } -0.16911 0.038879 -4.3497 1033 1.4984e-05 -0.2454 {'state_is' } 0.032999 0.037595 0.87773 1033 0.38029 -0.040773 {'state_nrem' } 0.038837 0.037772 1.0282 1033 0.30411 -0.035283 {'state_quiet' } 0.013991 0.035795 0.39088 1033 0.69597 -0.056248 {'state_rem' } 0.0011941 0.050681 0.023562 1033 0.98121 -0.098255 {'state_locomotion' } -0.032022 0.036549 -0.87614 1033 0.38116 -0.10374 {'genotype_wt_dual:state_is' } -0.035422 0.051552 -0.68711 1033 0.49216 -0.13658 {'genotype_wt_dual:state_nrem' } -0.0060048 0.051491 -0.11662 1033 0.90718 -0.10704 {'genotype_wt_dual:state_quiet' } -0.11586 0.054376 -2.1306 1033 0.033354 -0.22255 {'genotype_wt_dual:state_rem' } 0.019753 0.06292 0.31394 1033 0.75363 -0.10371 {'genotype_wt_dual:state_locomotion'} 0.29187 0.055646 5.2451 1033 1.8947e-07 0.18267 Upper -0.426 -0.092822 0.10677 0.11296 0.084231 0.10064 0.039697 0.065736 0.095033 -0.0091561 0.14322 0.40106 Random effects covariance parameters: Group: dx_squared (33 Levels) Name1 Name2 Type Estimate {'(Intercept)'} {'(Intercept)'} {'std'} 0.20512 Group: Error Name Estimate {'sqrt(Dispersion)'} 0.23774