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