model =
Generalized linear mixed-effects model fit by PL
Model information:
Number of observations 1015
Fixed effects coefficients 12
Random effects coefficients 31
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
1618.7 1687.6 -795.35 1590.7
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF pValue Lower Upper
{'(Intercept)' } -0.84953 0.078561 -10.814 1003 7.4226e-26 -1.0037 -0.69537
{'genotype_wt_dual' } 0.075193 0.084374 0.89118 1003 0.37305 -0.090378 0.24076
{'state_is' } 0.0092172 0.082075 0.1123 1003 0.91061 -0.15184 0.17028
{'state_nrem' } 0.035565 0.082082 0.43329 1003 0.6649 -0.12551 0.19664
{'state_quiet' } -0.079494 0.078432 -1.0135 1003 0.31104 -0.2334 0.074416
{'state_rem' } 0.012677 0.11194 0.11325 1003 0.90986 -0.20698 0.23234
{'state_locomotion' } -0.087639 0.080013 -1.0953 1003 0.27365 -0.24465 0.069374
{'genotype_wt_dual:state_is' } -0.049693 0.11306 -0.43953 1003 0.66037 -0.27155 0.17217
{'genotype_wt_dual:state_nrem' } -0.14736 0.11224 -1.3129 1003 0.18951 -0.36761 0.072888
{'genotype_wt_dual:state_quiet' } -0.12402 0.119 -1.0421 1003 0.29759 -0.35753 0.1095
{'genotype_wt_dual:state_rem' } -0.10749 0.13873 -0.77486 1003 0.43861 -0.37972 0.16473
{'genotype_wt_dual:state_locomotion'} 0.561 0.12089 4.6406 1003 3.9334e-06 0.32378 0.79822
Random effects covariance parameters:
Group: dx_squared (31 Levels)
Name1 Name2 Type Estimate
{'(Intercept)'} {'(Intercept)'} {'std'} 0.24877
Group: Error
Name Estimate
{'sqrt(Dispersion)'} 0.5194