Table 2. Linear regression models for missing_events_percent based on predictor variables of representation completeness of Domain variables generated by applying independent and correlated degradation.

Predictor	Coefficient	SE coefficient	t -Value	p -Value
Independent degradation
Birth_date	−0.9949	0.0069	−144.7	< 0.0001
Admission_type	−0.9941	0.0069	−144.6	< 0.0001
Medication_start_date	−0.3927	0.0072	−54.3	< 0.0001
Catheter_duration	−1.2136	0.0083	−145.9	< 0.0001
Catheter_rationale_for_continued_use	−0.1226	0.0070	−17.6	< 0.0001
Correlated degradation
Birth_date	−0.9955	0.0066	−151.2	< 0.0001
Admission_type	−0.9972	0.0066	−151.5	< 0.0001
Medication_ start _date	−0.4155	0.0073	−56.8	< 0.0001
Catheter_duration	−1.1863	0.0080	−149.0	< 0.0001
Catheter_rationale_for_continued_use	−0.1178	0.0067	−17.7	< 0.0001