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