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feat(matlab): add Satterthwaite DF + honest random-slope test to LME reports

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Every fitlme-based report (lme_*, paper_*, phase_*, and the variations'
analyze.m) now shows, per effect: residual-DF p, Satterthwaite-DF p, and --
for the interaction -- an HONEST test from a per-animal random-SLOPE model
(day|rat), whose Satterthwaite DF collapses toward the animal count.

New: tdcs_random_slope_interaction.m (shared helper). Wired into tdcs_lme,
tdcs_paper_lme, tdcs_phase_lme, variation_analyze; SUMMARY.csv gains
interaction_p_satt / interaction_p_rs. Regenerated all results/, variations/,
matched-effort outputs.

Key point this surfaces: Satterthwaite ~= residual on the random-INTERCEPT
model (the slope's error is at session level), so it does NOT fix
pseudoreplication; the random-slope model does. Effect: full-range mergeA2
interaction 0.009 -> 0.75 (collapses); unmerge_d0_5 0.015 -> 0.13 (n.s.);
the pooled-control early windows survive honestly (naive_a2_d0_5 0.001 ->
0.028; naive_boxa_d0_5 0.003 -> 0.036). Suite 42/42.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Experiments DB Dev
2026-07-22 15:45:19 -04:00
parent 5fcd97f81a
commit 8a18c894dd
77 changed files with 2066 additions and 345 deletions
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analysis/matlab/results/paper_mergeNaive.txt
+16 -6
View File
@@ -1,7 +1,8 @@
==============================================================================
PAPER LME REPLICATION -- mergeNaive
PAPER LME REPLICATION -- mergeNaive (full range)
==============================================================================
model: behavior ~ stim + day + stim:day + (1|rat) [stim: Electrode-Box-B2=1 vs Electrode-Box-A2=0]
behavior = successful reaches (COUNT per session)
N = 11 rats, 170 sessions (day raw; day 0 = paper "Day 1")
day coverage: stim(B2) 0..22, control(A2) 0..26
** WARNING: unequal day coverage -- the full-range stim:day interaction
@@ -56,12 +57,21 @@ Group: Error
effect t (df) F (df1) p
------------------------------------------------------------------
stim x day (interaction) t(166)= 2.70 F(1)= 7.299 p=0.007614
day (learning) t(166)= 10.58 F(1)= 111.990 p=2.508e-20
stim (main, Day 1) t(166)= 1.27 F(1)= 1.611 p=0.2062
effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
----------------------------------------------------------------------------
stim x day (interaction) t(166)= 2.70 F(1)= 7.299 p=0.007614 p=0.007598 (df=170)
day (learning) t(166)= 10.58 F(1)=111.990 p=2.508e-20 p=2.011e-20 (df=170)
stim (main, Day 1) t(166)= 1.27 F(1)= 1.611 p=0.2062 p=0.217 (df=23)
interaction 95% CI: [+0.43, +2.74]
HONEST LME -- per-rat random slope (day|rat): interaction F(1,11.4)=0.92, p=0.3565
Satterthwaite DF on the random-INTERCEPT model above stays ~= residual (the
slope's error is at session level), so it does NOT fix pseudoreplication. A per-animal
random slope collapses the interaction DF toward the animal count -- the honest test.
INTERPRETATION
- stim x day interaction: SIGNIFICANT (p=0.0076, slope diff=+1.58) -> tDCS (Box-B2) improves FASTER -- benefit accumulates over training.
- stim main effect on Day 1 (our day 0): n.s. (p=0.2062) -> groups are comparable on Day 1.
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008; day t(227)=9.64,
F(1)=267.64, p=1.2e-18; stim t(227)=0.23, F(1)=0.053, p=0.81.