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: matched_current_d0_3 [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
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N = 6 rats, 24 sessions raw day coverage: treat 0..3, control 0..3
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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 24
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Fixed effects coefficients 4
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Random effects coefficients 6
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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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-40.724 -33.656 26.362 -52.724
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Fixed effects coefficients (95% CIs):
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Name Estimate SE tStat DF pValue
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{'(Intercept)'} 0.23952 0.039567 6.0535 20 6.443e-06
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{'day' } 0.027914 0.020245 1.3788 20 0.18317
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{'stim' } -0.089781 0.055956 -1.6045 20 0.12428
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{'day:stim' } 0.077228 0.02863 2.6974 20 0.013857
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Lower Upper
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0.15698 0.32205
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-0.014316 0.070144
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-0.2065 0.026941
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0.017506 0.13695
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Random effects covariance parameters (95% CIs):
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Group: rat (6 Levels)
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Name1 Name2 Type Estimate
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{'(Intercept)'} {'(Intercept)'} {'std'} 0.019829
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Lower Upper
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0.00093276 0.42155
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Group: Error
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Name Estimate Lower Upper
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{'Res Std'} 0.078408 0.056558 0.1087
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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(20)= 2.70 F(1)= 7.276 p=0.01386 p=0.01473 (df=18)
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day (learning) t(20)= 1.38 F(1)= 1.901 p=0.1832 p=0.1848 (df=18)
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stim (main, window start) t(20)= -1.60 F(1)= 2.574 p=0.1243 p=0.1235 (df=21)
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interaction 95% CI: [+0.01751, +0.1369]
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HONEST LME (per-animal random slope, day|rat): interaction F(1,18.0)=7.28, p=0.01473
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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=0.01386, slope diff=+0.07723)
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Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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