samsam2610/experiments-database
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

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

Browse Source 
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
Download Patch File Download Diff File Expand all files Collapse all files
analysis/matlab/variations/naive_a2_d0_5/result.txt
+26 -12
View File
@@ -28,27 +28,41 @@ Model fit statistics:
489.28 501.74 -238.64 477.28
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF pValue Lower Upper
{'(Intercept)'} 9.0584 5.0267 1.8021 55 0.077018 -1.0153 19.132
{'day' } 8.2568 1.1279 7.3206 55 1.1254e-09 5.9965 10.517
{'stim' } 0.44958 9.048 0.049688 55 0.96055 -17.683 18.582
{'day:stim' } 6.9622 2.0162 3.4532 55 0.0010733 2.9217 11.003
Name Estimate SE tStat DF pValue
{'(Intercept)'} 9.0584 5.0267 1.8021 55 0.077018
{'day' } 8.2568 1.1279 7.3206 55 1.1254e-09
{'stim' } 0.44958 9.048 0.049688 55 0.96055
{'day:stim' } 6.9622 2.0162 3.4532 55 0.0010733
Lower Upper
-1.0153 19.132
5.9965 10.517
-17.683 18.582
2.9217 11.003
Random effects covariance parameters (95% CIs):
Group: rat (10 Levels)
Name1 Name2 Type Estimate Lower Upper
{'(Intercept)'} {'(Intercept)'} {'std'} 9.6432 5.5002 16.907
Name1 Name2 Type Estimate
{'(Intercept)'} {'(Intercept)'} {'std'} 9.6432
Lower Upper
5.5002 16.907
Group: Error
Name Estimate Lower Upper
{'Res Std'} 12.109 9.9317 14.763
effect t (df) F (df1) p
------------------------------------------------------------------
stim x day (interaction) t(55)= 3.45 F(1)= 11.924 p=0.001073
day (learning) t(55)= 7.32 F(1)= 53.591 p=1.125e-09
stim (main, window start) t(55)= 0.05 F(1)= 0.002 p=0.9606
effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
----------------------------------------------------------------------------
stim x day (interaction) t(55)= 3.45 F(1)= 11.924 p=0.001073 p=0.001152 (df=49)
day (learning) t(55)= 7.32 F(1)= 53.591 p=1.125e-09 p=2.092e-09 (df=49)
stim (main, window start) t(55)= 0.05 F(1)= 0.002 p=0.9606 p=0.9609 (df=20)
interaction 95% CI: [+2.92, +11.00]
HONEST LME (per-animal random slope, day|rat): interaction F(1,9.7)=6.65, p=0.02815
(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=0.001073, slope diff=+6.96)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.