Table 4. Linear regression models for missing_events_percent based on predictor variables of DomainConstraints for Domain variables generated by applying independent and correlated degradation.

Predictor	Coefficient	SE coefficient	t -Value	p -Value
Independent degradation
Birth_date	−1.0099	0.0067	−150.3	< 0.0001
Admission_type	−1.0020	0.0067	−149.2	< 0.0001
Medication_start_date	−0.4018	0.0071	−56.9	< 0.0001
Catheter_duration	−1.1970	0.0081	−147.5	< 0.0001
Catheter_rationale_for_continued_use	−0.1219	0.0068	−17.9	< 0.0001
Correlated degradation
Birth_date	−0.9839	0.0061	−161.5	< 0.0001
Admission_type	−1.0000	0.0061	−164.1	< 0.0001
Medication_start_date	−0.3858	0.0064	−60.2	< 0.0001
Catheter_duration	−1.1685	0.0074	−158.7	< 0.0001
Catheter_rationale_for_continued_use	−0.1136	0.0062	−18.4	< 0.0001