============================================================================== VARIATION: unmerge_d0_5 ============================================================================== model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success COUNT) day = training day within window (0 = first analyzed day) treatment (stim=1): Electrode-Box-B2 control (stim=0): Electrode-Box-A2 N = 6 rats, 36 sessions raw day coverage: treat 0..5, control 0..5 (equal day coverage over this window) ============================================================================== FULL MODEL SUMMARY -- fitlme ============================================================================== Linear mixed-effects model fit by ML Model information: Number of observations 36 Fixed effects coefficients 4 Random effects coefficients 6 Covariance parameters 2 Formula: behavior ~ 1 + day*stim + (1 | rat) Model fit statistics: AIC BIC LogLikelihood Deviance 289.66 299.16 -138.83 277.66 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue {'(Intercept)'} 12.524 5.2775 2.3731 32 0.023816 {'day' } 9.8571 1.4772 6.6729 32 1.5706e-07 {'stim' } -3.0159 7.4635 -0.40408 32 0.68884 {'day:stim' } 5.3619 2.089 2.5667 32 0.015149 Lower Upper 1.7739 23.274 6.8482 12.866 -18.219 12.187 1.1067 9.6172 Random effects covariance parameters (95% CIs): Group: rat (6 Levels) Name1 Name2 Type Estimate {'(Intercept)'} {'(Intercept)'} {'std'} 4.8527 Lower Upper 1.7069 13.796 Group: Error Name Estimate Lower Upper {'Res Std'} 10.703 8.3104 13.785 effect t (df) F (df1) p ------------------------------------------------------------------ stim x day (interaction) t(32)= 2.57 F(1)= 6.588 p=0.01515 day (learning) t(32)= 6.67 F(1)= 44.528 p=1.571e-07 stim (main, window start) t(32)= -0.40 F(1)= 0.163 p=0.6888 interaction 95% CI: [+1.11, +9.62] INTERPRETATION: stim x day interaction SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.01515, slope diff=+5.36) Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.