LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartBenefit
  /CONTRAST (HeartBenefit)=Indicator(1)
  /PRINT=CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

Logistic Regression

Notes	
Output Created	23-AUG-2019 11:27:46	
Comments		
Input	Data	K:\[Emergency Medicine] Diagnostic Testing Research\Fall 2018 [Jessica]\Rahul2016DiagnosticAccuracyUMHS2019Apr23.sav	
	Active Dataset	DataSet1	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	913	
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing	
Syntax	LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartBenefit
  /CONTRAST (HeartBenefit)=Indicator(1)
  /PRINT=CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).	
Resources	Processor Time	00:00:00.03	
	Elapsed Time	00:00:00.09	

Case Processing Summary	
Unweighted Casesa	N	Percent	
Selected Cases	Included in Analysis	912	99.9	
	Missing Cases	1	.1	
	Total	913	100.0	
Unselected Cases	0	.0	
Total	913	100.0	

a. If weight is in effect, see classification table for the total number of cases.	

Dependent Variable Encoding	
Original Value	Internal Value	
No	0	
Yes	1	

Categorical Variables Codings	
	Frequency	Parameter coding	
		(1)	
HeartBenefit	0.1	455	.000	
	1	457	1.000	

Block 0: Beginning Block

Classification Tablea,b	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 0	Would you want to have this diagnostic test performed given the above information.	No	0	340	.0	
		Yes	0	572	100.0	
	Overall Percentage			62.7	

a. Constant is included in the model.	
b. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	
Step 0	Constant	.520	.068	57.705	1	.000	1.682	

Variables not in the Equation	
	Score	df	Sig.	
Step 0	Variables	HeartBenefit(1)	35.287	1	.000	
	Overall Statistics	35.287	1	.000	

Block 1: Method = Enter

Omnibus Tests of Model Coefficients	
	Chi-square	df	Sig.	
Step 1	Step	35.579	1	.000	
	Block	35.579	1	.000	
	Model	35.579	1	.000	

Model Summary	
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square	
1	1169.050a	.038	.052	

a. Estimation terminated at iteration number 3 because parameter estimates changed by less than .001.	

Classification Tablea	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 1	Would you want to have this diagnostic test performed given the above information.	No	0	340	.0	
		Yes	0	572	100.0	
	Overall Percentage			62.7	

a. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)			
									
Step 1a	HeartBenefit(1)	.827	.140	34.684	1	.000	2.287			
	Constant	.128	.094	1.846	1	.174	1.136			

LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartRisk
  /CONTRAST (HeartRisk)=Indicator(1)
  /PRINT=CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

Logistic Regression

Notes	
Output Created	23-AUG-2019 11:28:46	
Comments		
Input	Data	K:\[Emergency Medicine] Diagnostic Testing Research\Fall 2018 [Jessica]\Rahul2016DiagnosticAccuracyUMHS2019Apr23.sav	
	Active Dataset	DataSet1	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	913	
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing	
Syntax	LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartRisk
  /CONTRAST (HeartRisk)=Indicator(1)
  /PRINT=CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).	
Resources	Processor Time	00:00:00.02	
	Elapsed Time	00:00:00.12	

Case Processing Summary	
Unweighted Casesa	N	Percent	
Selected Cases	Included in Analysis	912	99.9	
	Missing Cases	1	.1	
	Total	913	100.0	
Unselected Cases	0	.0	
Total	913	100.0	

a. If weight is in effect, see classification table for the total number of cases.	

Dependent Variable Encoding	
Original Value	Internal Value	
No	0	
Yes	1	

Categorical Variables Codings	
	Frequency	Parameter coding	
		(1)	
HeartRisk	0.1	456	.000	
	1	456	1.000	

Block 0: Beginning Block

Classification Tablea,b	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 0	Would you want to have this diagnostic test performed given the above information.	No	0	340	.0	
		Yes	0	572	100.0	
	Overall Percentage			62.7	

a. Constant is included in the model.	
b. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	
Step 0	Constant	.520	.068	57.705	1	.000	1.682	

Variables not in the Equation	
	Score	df	Sig.	
Step 0	Variables	HeartRisk(1)	8.272	1	.004	
	Overall Statistics	8.272	1	.004	

Block 1: Method = Enter

Omnibus Tests of Model Coefficients	
	Chi-square	df	Sig.	
Step 1	Step	8.288	1	.004	
	Block	8.288	1	.004	
	Model	8.288	1	.004	

Model Summary	
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square	
1	1196.341a	.009	.012	

a. Estimation terminated at iteration number 3 because parameter estimates changed by less than .001.	

Classification Tablea	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 1	Would you want to have this diagnostic test performed given the above information.	No	0	340	.0	
		Yes	0	572	100.0	
	Overall Percentage			62.7	

a. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	95% C.I.for EXP(B)		
							Lower		
Step 1a	HeartRisk(1)	-.395	.138	8.240	1	.004	.673	.514		
	Constant	.723	.100	52.423	1	.000	2.060			

LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost
  /CONTRAST (HeartCost)=Indicator(1)
  /PRINT=CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

Logistic Regression

Notes	
Output Created	23-AUG-2019 11:29:22	
Comments		
Input	Data	K:\[Emergency Medicine] Diagnostic Testing Research\Fall 2018 [Jessica]\Rahul2016DiagnosticAccuracyUMHS2019Apr23.sav	
	Active Dataset	DataSet1	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	913	
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing	
Syntax	LOGISTIC REGRESSION VARIABLES OutcomeCP
  /METHOD=ENTER HeartCost
  /CONTRAST (HeartCost)=Indicator(1)
  /PRINT=CI(95)
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).	
Resources	Processor Time	00:00:00.05	
	Elapsed Time	00:00:00.06	

Case Processing Summary	
Unweighted Casesa	N	Percent	
Selected Cases	Included in Analysis	912	99.9	
	Missing Cases	1	.1	
	Total	913	100.0	
Unselected Cases	0	.0	
Total	913	100.0	

a. If weight is in effect, see classification table for the total number of cases.	

Dependent Variable Encoding	
Original Value	Internal Value	
No	0	
Yes	1	

Categorical Variables Codings	
	Frequency	Parameter coding	
		(1)	
HeartCost	0	459	.000	
	100	453	1.000	

Block 0: Beginning Block

Classification Tablea,b	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 0	Would you want to have this diagnostic test performed given the above information.	No	0	340	.0	
		Yes	0	572	100.0	
	Overall Percentage			62.7	

a. Constant is included in the model.	
b. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	
Step 0	Constant	.520	.068	57.705	1	.000	1.682	

Variables not in the Equation	
	Score	df	Sig.	
Step 0	Variables	HeartCost(1)	10.026	1	.002	
	Overall Statistics	10.026	1	.002	

Block 1: Method = Enter

Omnibus Tests of Model Coefficients	
	Chi-square	df	Sig.	
Step 1	Step	10.047	1	.002	
	Block	10.047	1	.002	
	Model	10.047	1	.002	

Model Summary	
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square	
1	1194.582a	.011	.015	

a. Estimation terminated at iteration number 3 because parameter estimates changed by less than .001.	

Classification Tablea	
	Observed	Predicted	
		Would you want to have this diagnostic test performed given the above information.	Percentage Correct	
		No	Yes		
Step 1	Would you want to have this diagnostic test performed given the above information.	No	0	340	.0	
		Yes	0	572	100.0	
	Overall Percentage			62.7	

a. The cut value is .500	

Variables in the Equation	
	B	S.E.	Wald	df	Sig.	Exp(B)	95% C.I.for EXP(B)		
							Lower		
Step 1a	HeartCost(1)	-.436	.138	9.978	1	.002	.647	.494		
	Constant	.743	.100	55.296	1	.000	2.101