Experiments DB Dev
69 lines
3.0 KiB
Plaintext
69 lines
3.0 KiB
Plaintext
==============================================================================
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VARIATION: right_only_d6_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, Right-Electrode
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control (stim=0): Electrode-Box-A2
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N = 6 rats, 42 sessions raw day coverage: treat 6..13, control 6..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 42
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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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-107.29 -96.867 59.646 -119.29
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Fixed effects coefficients (95% CIs):
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Name Estimate SE tStat DF pValue
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{'(Intercept)'} 0.53543 0.038925 13.755 38 2.4576e-16
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{'day' } 0.0034157 0.0070712 0.48304 38 0.63184
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{'stim' } 0.077975 0.047524 1.6407 38 0.1091
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{'day:stim' } 0.018776 0.0083266 2.2549 38 0.029981
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Lower Upper
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0.45663 0.61423
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-0.010899 0.017731
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-0.018233 0.17418
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0.0019195 0.035632
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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'} 0.042741
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Lower Upper
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0.021774 0.083895
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Group: Error
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Name Estimate Lower Upper
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{'Res Std'} 0.051638 0.041022 0.065002
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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)= 2.25 F(1)= 5.085 p=0.02998 p=0.03003 (df=38)
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day (learning) t(38)= 0.48 F(1)= 0.233 p=0.6318 p=0.6318 (df=38)
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stim (main, window start) t(38)= 1.64 F(1)= 2.692 p=0.1091 p=0.1287 (df=11)
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interaction 95% CI: [+0.00192, +0.03563]
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HONEST LME (per-animal random slope, day|rat): interaction F(1,4.0)=0.24, p=0.6492
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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=0.02998, slope diff=+0.01878)
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Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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