Experiments DB Dev
69 lines
3.0 KiB
Plaintext
69 lines
3.0 KiB
Plaintext
==============================================================================
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VARIATION: naive_boxa_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
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control (stim=0): Electrode-Box-A, Electrode-Box-A2, Naive
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N = 10 rats, 73 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 73
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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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-143.92 -130.17 77.958 -155.92
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Fixed effects coefficients (95% CIs):
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Name Estimate SE tStat DF pValue
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{'(Intercept)'} 0.50639 0.029658 17.074 69 1.7857e-26
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{'day' } 0.013881 0.0046444 2.9887 69 0.0038784
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{'stim' } 0.13179 0.05426 2.4289 69 0.017756
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{'day:stim' } 0.0016506 0.0088296 0.18693 69 0.85226
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Lower Upper
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0.44722 0.56555
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0.0046157 0.023146
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0.023544 0.24004
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-0.015964 0.019265
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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'} 0.061972
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Lower Upper
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0.036939 0.10397
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Group: Error
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Name Estimate Lower Upper
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{'Res Std'} 0.073458 0.061716 0.087434
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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(69)= 0.19 F(1)= 0.035 p=0.8523 p=0.8523 (df=65)
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day (learning) t(69)= 2.99 F(1)= 8.933 p=0.003878 p=0.003964 (df=64)
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stim (main, window start) t(69)= 2.43 F(1)= 5.899 p=0.01776 p=0.02572 (df=18)
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interaction 95% CI: [-0.01596, +0.01927]
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HONEST LME (per-animal random slope, day|rat): interaction F(1,8.1)=0.00, p=0.9836
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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 n.s. -- slopes parallel (no differential learning rate) (p=0.8523, slope diff=+0.001651)
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Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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