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_13 [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, 122 sessions raw day coverage: treat 0..13, control 0..13
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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 122
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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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-181.33 -164.5 96.663 -193.33
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Fixed effects coefficients (95% CIs):
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Name Estimate SE tStat DF pValue
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{'(Intercept)'} 0.23325 0.027564 8.4623 118 8.2776e-14
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{'day' } 0.031488 0.0030917 10.184 118 7.3141e-18
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{'stim' } 0.055421 0.048873 1.134 118 0.2591
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{'day:stim' } 0.012089 0.0053578 2.2563 118 0.025894
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Lower Upper
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0.17867 0.28783
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0.025365 0.03761
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-0.041361 0.1522
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0.0014788 0.022699
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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'} 0.044199
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Lower Upper
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0.022679 0.086139
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Group: Error
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Name Estimate Lower Upper
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{'Res Std'} 0.10453 0.091674 0.1192
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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(118)= 2.26 F(1)= 5.091 p=0.02589 p=0.02593 (df=116)
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day (learning) t(118)= 10.18 F(1)=103.724 p=7.314e-18 p=6.719e-18 (df=119)
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stim (main, window start) t(118)= 1.13 F(1)= 1.286 p=0.2591 p=0.2666 (df=27)
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interaction 95% CI: [+0.001479, +0.0227]
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HONEST LME (per-animal random slope, day|rat): interaction F(1,97.3)=5.06, p=0.02667
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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=0.02589, slope diff=+0.01209)
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Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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