Result Detail – Repeated Measures Help

Back to Results Dashboard view Export CSV Export Excel Export PDF Download Full Report
Notebook
Result Information
Result ID
191
Type
Repeated Measures
Status
completed
Dataset ID
709
Created
2026-09-21 02:16:57.609141
Statistical Test Result Help
Test
repeated measures — repeated_measures
Statistic
2.7067
p-value
0.1111
Interpretation
not significant Repeated-measures ANOVA over 3 timepoints (n=30 subjects) with between-subject factor group
Repeated-measures ANOVA table Help
Termdfdf (error)Fp
group (between) 1.0 28.0 2.707 0.1111
time 2.0 56.0 30.667 1.013e-09
time × group 2.0 56.0 9.444 0.0002922
Means by group × timepoint
group t1 t2 t3
control 50.4634 51.6751 51.4951
treated 52.6927 54.2930 56.0131
Per-timepoint means
TimepointMean
t151.5780
t252.9841
t353.7541
Figures
Subject profiles Download PNG
Subject profiles
Group × time interaction Download PNG
Group × time interaction
Pathway Analysis (same dataset) Help
Run Pathway Analysis

Method & Provenance

Method
Repeated-measures ANOVA
Method key
repeated_measures (result type: statistical_test, result #191)
Engine
Python · statsmodels v0.14.6
Dataset(s)
#709 gallery — example_repeated_measures.csv
Status
completed
Permanent link
https://cat-g-omxpert.wishartlab.com/results/by-token/912162730f9b4e7f9d1dca324562f4e7 Bookmark or share this URL — it does not depend on your session.
Created
2026-09-21 02:16:57.609141

Parameters used

ParameterValue
test_type repeated_measures
timepoint_cols t1, t2, t3
between_col group

Execution trace

Reconstructed from the parameters stored with this result — represents the Python/R calls the analysis service made. 

from statsmodels.stats.anova import AnovaRM
fit = AnovaRM(long_df, depvar='value', subject='subject', within=['time']).fit()