Lmm run #188 · statistical_test
6.37e-08
p value
value ~ C(treatment)
formula
True
converged
120
n obs
completed
status
2026-09-21 02:16
created
Figures
Coefficient estimates (95% CI)
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Observed vs fitted
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Residuals vs fitted
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Coefficients 3 rows
| term | coef | se | z | p | ci_lower | ci_upper |
|---|---|---|---|---|---|---|
| Intercept | 9.628777969390402 | 0.4638039990415283 | 20.76044619987905 | 9.864652514827668e-96 | 8.719738835383357 | 10.537817103397447 |
| C(treatment)[T.treated] | 3.5472598049769397 | 0.6559179057274076 | 5.408085027108777 | 6.370218281789118e-08 | 2.2616843329362823 | 4.8328352770175975 |
| Group Var | 4.093658718598755 | 1.2334662561614742 | 3.318825057556216 | 0.0009039704281018566 | 1.6761092803768092 | 6.511208156820701 |
Method & Provenance
- Method
- Linear mixed-effects model (random intercept)
- Method key
lmm(result type:statistical_test, result #188)- Engine
- Python · statsmodels v0.14.6
- Dataset(s)
- #707 gallery — example_lmm.csv
- Status
- completed
- Permanent link
- https://cat-g-omxpert.wishartlab.com/results/by-token/a59b0a0c337b4536a6b291f072aadf18 Bookmark or share this URL — it does not depend on your session.
- Created
- 2026-09-21 02:16:46.041991
Parameters used
| Parameter | Value |
|---|---|
test_type
| lmm |
value_col
| value |
group_col
| subject |
fixed_col
| treatment |
Execution trace
Reconstructed from the parameters stored with this result — represents the Python/R calls the analysis service made.
import statsmodels.formula.api as smfmodel = smf.mixedlm('value ~ fixed', data=df, groups=df['group_col'])fit = model.fit()