analysis(matlab): rate + count outputs, variation batch 3
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -1,11 +1,11 @@
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==============================================================================
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POWER SIMULATION -- prev_f_full
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POWER SIMULATION -- prev_f_full [metric: # successes (count)]
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==============================================================================
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model: behavior ~ stim + day + stim:day + (1|rat) (success COUNT; day within-window)
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model: behavior ~ stim + day + stim:day + (1|rat) (behavior = # successes (count); day within-window)
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observed groups: stim n=12, control n=12 nrep=120, alpha=0.05
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ground truth: stim:day=+0.56/day, rat SD=4.32, residual SD=4.49, days=10
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ground truth: stim:day=+0.5602/day, rat SD=4.316, residual SD=4.489, days=10
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true stim:day interaction = +0.56 (100% of observed)
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true stim:day interaction = +0.5602 (100% of observed)
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N/group | per-animal power | LME power
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------------------------------------------
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3 | 0.13 | 0.27
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@@ -15,7 +15,7 @@ ground truth: stim:day=+0.56/day, rat SD=4.32, residual SD=4.49, days=10
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16 | 0.91 | 0.93
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24 | 0.98 | 0.98
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true stim:day interaction = +0.28 (50% of observed)
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true stim:day interaction = +0.2801 (50% of observed)
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N/group | per-animal power | LME power
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------------------------------------------
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3 | 0.04 | 0.07
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@@ -25,5 +25,4 @@ ground truth: stim:day=+0.56/day, rat SD=4.32, residual SD=4.49, days=10
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16 | 0.33 | 0.37
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24 | 0.45 | 0.47
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Read the per-animal column as the honest power. At the observed N this study
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is typically underpowered; per-animal power reaches ~0.8 only at larger N.
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Read the per-animal column as the honest power; LME is optimistic (obs-level DF).
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