analysis(matlab): rate + count outputs, variation batch 4
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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==============================================================================
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VARIATION: right_only_d0_10 [metric: success RATE (success/attempts)]
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==============================================================================
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model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success RATE (success/attempts))
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day = training day within window (0 = first analyzed day)
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treatment (stim=1): Electrode-Box-B2, Right-Electrode
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control (stim=0): Electrode-Box-A2
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N = 7 rats, 72 sessions raw day coverage: treat 0..10, control 0..10
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(equal day coverage over this window)
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==============================================================================
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FULL MODEL SUMMARY -- fitlme
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==============================================================================
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Linear mixed-effects model fit by ML
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Model information:
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Number of observations 72
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Fixed effects coefficients 4
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Random effects coefficients 7
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Covariance parameters 2
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Formula:
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behavior ~ 1 + day*stim + (1 | rat)
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Model fit statistics:
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AIC BIC LogLikelihood Deviance
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-130.99 -117.33 71.495 -142.99
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Fixed effects coefficients (95% CIs):
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Name Estimate SE tStat DF
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{'(Intercept)'} 0.22977 0.037841 6.0719 68
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{'day' } 0.040867 0.0053407 7.652 68
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{'stim' } 0.00041563 0.049782 0.008349 68
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{'day:stim' } 0.013934 0.006676 2.0872 68
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pValue Lower Upper
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6.3632e-08 0.15426 0.30528
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9.3879e-11 0.03021 0.051524
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0.99336 -0.098922 0.099754
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0.040617 0.00061265 0.027256
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Random effects covariance parameters (95% CIs):
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Group: rat (7 Levels)
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Name1 Name2 Type Estimate
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{'(Intercept)'} {'(Intercept)'} {'std'} 0.044032
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Lower Upper
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0.021261 0.09119
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Group: Error
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Name Estimate Lower Upper
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{'Res Std'} 0.084023 0.070735 0.099809
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effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
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----------------------------------------------------------------------------
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stim x day (interaction) t(68)= 2.09 F(1)= 4.357 p=0.04062 p=0.04064 (df=68)
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day (learning) t(68)= 7.65 F(1)= 58.553 p=9.388e-11 p=8.647e-11 (df=69)
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stim (main, window start) t(68)= 0.01 F(1)= 0.000 p=0.9934 p=0.9934 (df=17)
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interaction 95% CI: [+0.0006126, +0.02726]
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HONEST LME (per-animal random slope, day|rat): interaction F(1,67.1)=4.40, p=0.03968
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(Satterthwaite DF ~= residual on this random-intercept model; the random-slope
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model above is the honest learning-rate test -- DF collapses toward the animal count.)
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INTERPRETATION: stim x day interaction SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.04062, slope diff=+0.01393)
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Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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