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analysis(matlab): rate + count outputs, variation batch 2

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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Experiments DB Dev
2026-07-24 02:32:52 -04:00
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analysis/matlab/variations/matched_current_d0_3/result.txt
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==============================================================================
VARIATION: matched_current_d0_3
VARIATION: matched_current_d0_3 [metric: success COUNT]
==============================================================================
model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success COUNT)
day = training day within window (0 = first analyzed day)
@@ -60,9 +60,9 @@ effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
stim x day (interaction) t(20)= 3.27 F(1)= 10.700 p=0.003822 p=0.004244 (df=18)
day (learning) t(20)= 2.89 F(1)= 8.337 p=0.009105 p=0.009807 (df=18)
stim (main, window start) t(20)= -1.42 F(1)= 2.025 p=0.1701 p=0.1703 (df=20)
interaction 95% CI: [+3.70, +16.70]
interaction 95% CI: [+3.695, +16.7]
HONEST LME (per-animal random slope, day|rat): interaction F(1,9.8)=9.76, p=0.01107
(Satterthwaite DF ~= residual on this random-intercept model; the random-slope
model above is the honest learning-rate test -- DF collapses toward the animal count.)
INTERPRETATION: stim x day interaction SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.003822, slope diff=+10.20)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.
INTERPRETATION: stim x day interaction SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.003822, slope diff=+10.2)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.