analysis(matlab): rate + count outputs, variation batch 1
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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==============================================================================
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VARIATION: boxa_b2_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-A, Electrode-Box-B2
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control (stim=0): Electrode-Box-A2
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N = 7 rats, 42 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 42
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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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-68.33 -57.904 40.165 -80.33
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Fixed effects coefficients (95% CIs):
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Name Estimate SE tStat DF pValue
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{'(Intercept)'} 0.2186 0.045229 4.8332 38 2.2327e-05
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{'day' } 0.043366 0.011725 3.6987 38 0.00068267
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{'stim' } -0.059971 0.059832 -1.0023 38 0.32253
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{'day:stim' } 0.042705 0.01551 2.7533 38 0.0089978
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Lower Upper
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0.12704 0.31016
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0.01963 0.067101
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-0.1811 0.061153
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0.011306 0.074103
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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'} 0.048546
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Lower Upper
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0.021809 0.10806
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Group: Error
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Name Estimate Lower Upper
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{'Res Std'} 0.084953 0.067211 0.10738
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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(38)= 2.75 F(1)= 7.581 p=0.008998 p=0.00929 (df=35)
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day (learning) t(38)= 3.70 F(1)= 13.680 p=0.0006827 p=0.0007391 (df=35)
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stim (main, window start) t(38)= -1.00 F(1)= 1.005 p=0.3225 p=0.3289 (df=19)
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interaction 95% CI: [+0.01131, +0.0741]
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HONEST LME (per-animal random slope, day|rat): interaction F(1,8.8)=5.05, p=0.05179
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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=0.008998, slope diff=+0.0427)
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Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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