analysis(matlab): rate + count outputs, variation batch 2
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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==============================================================================
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VARIATION: naive_a2_d0_5 [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
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control (stim=0): Electrode-Box-A2, Naive
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N = 10 rats, 57 sessions raw day coverage: treat 0..5, control 0..5
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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 57
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Fixed effects coefficients 4
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Random effects coefficients 10
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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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-81.991 -69.732 46.995 -93.991
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Fixed effects coefficients (95% CIs):
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Name Estimate SE tStat DF
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{'(Intercept)'} 0.21873 0.03639 6.0107 53
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{'day' } 0.030326 0.0094955 3.1937 53
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{'stim' } -0.053886 0.062912 -0.85653 53
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{'day:stim' } 0.062061 0.016406 3.7829 53
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pValue Lower Upper
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1.7409e-07 0.14574 0.29172
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0.002365 0.01128 0.049372
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0.39556 -0.18007 0.072299
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0.00039586 0.029156 0.094967
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Random effects covariance parameters (95% CIs):
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Group: rat (10 Levels)
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Name1 Name2 Type Estimate
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{'(Intercept)'} {'(Intercept)'} {'std'} 0.054581
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Lower Upper
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0.026757 0.11134
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Group: Error
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Name Estimate Lower Upper
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{'Res Std'} 0.096936 0.079103 0.11879
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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(53)= 3.78 F(1)= 14.310 p=0.0003959 p=0.0004381 (df=47)
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day (learning) t(53)= 3.19 F(1)= 10.200 p=0.002365 p=0.002483 (df=48)
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stim (main, window start) t(53)= -0.86 F(1)= 0.734 p=0.3956 p=0.3992 (df=27)
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interaction 95% CI: [+0.02916, +0.09497]
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HONEST LME (per-animal random slope, day|rat): interaction F(1,11.5)=11.53, p=0.005637
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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=0.0003959, slope diff=+0.06206)
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Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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