Table Analyzed	Data 1					
Dependent variable	pDDI					
Regression type	Logistic regression					
						
Model						
Parameter estimates	Variable	Estimate	Standard error	95% CI (profile likelihood)		
     β0	Intercept	-3.139	1.111	-5.378 to -1.011		
     β1	Age	0.001083	0.01511	-0.02864 to 0.03078		
     β2	Sex[F]	0.2160	0.3107	-0.3951 to 0.8265		
     β3	Duration of stay	-0.002834	0.08488	-0.1773 to 0.1584		
     β4	Co-morbidities	0.02663	0.2410	-0.4492 to 0.4988		
     β5	Any FDC Prescribed?[Y]	0.3924	0.3284	-0.2531 to 1.039		
     β6	Number of prescription with antibiotic	-0.04287	0.1192	-0.2788 to 0.1912		
     β7	Number of prescription withinjection	0.6122	0.08656	0.4505 to 0.7913		
     β8	DMHTNDLP[Y]	0.5780	0.4676	-0.3337 to 1.505		
     β9	ACS YES/NO[Y]	0.8442	0.3896	0.09899 to 1.634		
     β10	polypharmacy[1]	0.8988	0.3398	0.2361 to 1.573		
						
Odds ratios	Variable	Estimate	95% CI (profile likelihood)			
     β0	Intercept	0.04332	0.004615 to 0.3640			
     β1	Age	1.001	0.9718 to 1.031			
     β2	Sex[F]	1.241	0.6736 to 2.285			
     β3	Duration of stay	0.9972	0.8375 to 1.172			
     β4	Co-morbidities	1.027	0.6381 to 1.647			
     β5	Any FDC Prescribed?[Y]	1.481	0.7764 to 2.825			
     β6	Number of prescription with antibiotic	0.9580	0.7567 to 1.211			
     β7	Number of prescription withinjection	1.844	1.569 to 2.206			
     β8	DMHTNDLP[Y]	1.783	0.7163 to 4.506			
     β9	ACS YES/NO[Y]	2.326	1.104 to 5.124			
     β10	polypharmacy[1]	2.457	1.266 to 4.819			
						
Sig. diff. than zero?	Variable	|Z|	P value	P value summary		
     β0	Intercept	2.825	0.0047	**		
     β1	Age	0.07164	0.9429	ns		
     β2	Sex[F]	0.6953	0.4869	ns		
     β3	Duration of stay	0.03339	0.9734	ns		
     β4	Co-morbidities	0.1105	0.9120	ns		
     β5	Any FDC Prescribed?[Y]	1.195	0.2321	ns		
     β6	Number of prescription with antibiotic	0.3596	0.7191	ns		
     β7	Number of prescription withinjection	7.073	<0.0001	****		
     β8	DMHTNDLP[Y]	1.236	0.2164	ns		
     β9	ACS YES/NO[Y]	2.167	0.0302	*		
     β10	polypharmacy[1]	2.645	0.0082	**		
						
Model diagnostics	Degrees of Freedom	AICc				
     Intercept-only model	337	470.5				
     Selected model	327	339.9				
						
Area under the ROC curve						
     Area	0.8672					
     Std. Error	0.02014					
     95% confidence interval	0.8277 to 0.9066					
     P value	<0.0001					
						
Classification table	Predicted 0	Predicted 1	Total	% Correctly classified		
     Observed 0	147	25	172	85.47		
     Observed 1	39	127	166	76.51		
     Total	186	152	338	81.07		
						
     Negative predictive power (%)	79.03					
     Positive predictive power (%)	83.55					
						
     Classification cutoff	0.5					
						
Pseudo R squared						
     Tjur's R squared	0.4029					
						
Hypothesis tests	Statistic	P value	Null hypothesis	Reject Null Hypothesis?	P value summary	
     Hosmer-Lemeshow	17.22	0.0279	Selected model is correct	Yes	*	
						
Data summary						
     Rows in table	338					
     Rows skipped (missing data)	0					
     Rows analyzed (#observations)	338					
     Number of 1	166					
     Number of 0	172					
     Number of parameter estimates	11					
     #observations/#parameters	30.7					
     # of 1/#parameters	15.1					
     # of 0/#parameters	15.6