============================================================================== VARIATION: matched_current_d0_3 ============================================================================== 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, 24 sessions raw day coverage: treat 0..3, control 0..3 (equal day coverage over this window) ============================================================================== FULL MODEL SUMMARY -- fitlme ============================================================================== Linear mixed-effects model fit by ML Model information: Number of observations 24 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 185.35 192.42 -86.676 173.35 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue {'(Intercept)'} 16.867 4.4554 3.7856 20 0.0011608 {'day' } 6.3667 2.2049 2.8875 20 0.0091051 {'stim' } -8.9667 6.3009 -1.4231 20 0.17013 {'day:stim' } 10.2 3.1182 3.2711 20 0.0038217 Lower Upper 7.5728 26.161 1.7673 10.966 -22.11 4.1769 3.6955 16.705 Random effects covariance parameters (95% CIs): Group: rat (6 Levels) Name1 Name2 Type Estimate {'(Intercept)'} {'(Intercept)'} {'std'} 2.9163 Lower Upper 0.43116 19.725 Group: Error Name Estimate Lower Upper {'Res Std'} 8.5397 6.1599 11.839 effect t (df) F (df1) p ------------------------------------------------------------------ stim x day (interaction) t(20)= 3.27 F(1)= 10.700 p=0.003822 day (learning) t(20)= 2.89 F(1)= 8.337 p=0.009105 stim (main, window start) t(20)= -1.42 F(1)= 2.025 p=0.1701 interaction 95% CI: [+3.70, +16.70] INTERPRETATION: stim x day interaction SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.003822, slope diff=+10.20) Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.