| Linear mixed effects parameters | |
|---|---|
| Fixed Effects formula | observed_features ~ DayRelativeToNearestHCT |
| Metric | observed_features |
| Group column | None |
| State column | DayRelativeToNearestHCT |
| Individual ID column | PatientID |
| Random effects | None |
Model summary
| model summary | |
|---|---|
| Model: | MixedLM |
| No. Observations: | 356 |
| No. Groups: | 24 |
| Min. group size: | 2 |
| Max. group size: | 34 |
| Mean group size: | 14.8 |
| Dependent Variable: | observed_features |
| Method: | REML |
| Scale: | 1783.1854 |
| Log-Likelihood: | -1847.5403 |
| Converged: | Yes |
Download summary as tsv
Model results
| Coef. | Std.Err. | z | P>|z| | [0.025 | 0.975] | |
|---|---|---|---|---|---|---|
| Intercept | 86.677 | 4.458 | 19.445 | 0.000 | 77.940 | 95.414 |
| DayRelativeToNearestHCT | -0.579 | 0.119 | -4.851 | 0.000 | -0.813 | -0.345 |
| Group Var | 231.424 | 2.627 |
Download results as tsv
Regression scatterplots
Projected Residuals
Fit values for metric vs. observation error (residuals). Residuals should be roughly zero-centered and normal. Uncentered, systematically high or low, and autocorrelated values could indicate a poor model.
