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_xy_size ~ 1 + genotype*state + (1 | dx_squared)
Model fit statistics:
AIC BIC LogLikelihood Deviance
1929 1997.9 -950.51 1901
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF pValue Lower
{'(Intercept)' } 0.87786 0.075486 11.629 1003 2.0456e-29 0.72973
{'genotype_wt_dual' } 0.58239 0.098846 5.8919 1003 5.2067e-09 0.38843
{'state_is' } -0.12705 0.095617 -1.3288 1003 0.18423 -0.31468
{'state_nrem' } -0.067176 0.095503 -0.70339 1003 0.48198 -0.25458
{'state_quiet' } -0.1265 0.092348 -1.3698 1003 0.17105 -0.30772
{'state_rem' } -0.10274 0.13133 -0.78228 1003 0.43424 -0.36046
{'state_locomotion' } 0.11698 0.094169 1.2422 1003 0.21446 -0.067815
{'genotype_wt_dual:state_is' } -0.40607 0.13219 -3.072 1003 0.0021839 -0.66547
{'genotype_wt_dual:state_nrem' } -0.3474 0.13103 -2.6513 1003 0.0081449 -0.60453
{'genotype_wt_dual:state_quiet' } -0.35825 0.14014 -2.5564 1003 0.010722 -0.63325
{'genotype_wt_dual:state_rem' } -0.45182 0.16281 -2.7751 1003 0.0056215 -0.77132
{'genotype_wt_dual:state_locomotion'} 0.64833 0.14233 4.555 1003 5.8836e-06 0.36902
Upper
1.026
0.77636
0.060581
0.12023
0.054718
0.15498
0.30177
-0.14668
-0.090275
-0.083253
-0.13233
0.92764
Random effects covariance parameters:
Group: dx_squared (31 Levels)
Name1 Name2 Type Estimate
{'(Intercept)'} {'(Intercept)'} {'std'} 0.13334
Group: Error
Name Estimate
{'sqrt(Dispersion)'} 0.61204