Results: senic3.sas

Open SENIC Data

Explore with Elementary tests

Correlations

The CORR Procedure

The Corr Procedure

Variables Information

14 Variables: census nbeds nurses lngstay age xratio culratio infpercent quality mschool ne nc s w

Simple Statistics

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
census 100 192.41000 158.24524 19241 20.00000 791.00000 Aver # patients in hospital per day
nbeds 100 252.88000 197.95726 25288 29.00000 835.00000 Average # beds during study period
nurses 97 175.35052 138.14003 17009 14.00000 656.00000 Aver # nurses during study period
lngstay 100 9.69210 1.99057 969.21000 6.70000 19.56000 Av length of hospital stay, in days
age 99 53.19899 4.46550 5267 38.80000 65.90000 Average patient age
xratio 100 81.62000 19.85999 8162 39.60000 133.50000 # x-rays / # no signs of pneumonia
culratio 100 15.63000 10.46618 1563 1.60000 60.50000 # cultures / # no hosp acq infect
infpercent 96 4.31354 1.35216 414.10000 1.30000 7.80000 Percent acquiring infection in hospital
quality 97 971.80247 687.41046 94265 194.83000 3563 Jerry's bogus hospital quality index
mschool 96 0.16667 0.37463 16.00000 0 1.00000  
ne 100 0.24000 0.42923 24.00000 0 1.00000  
nc 100 0.31000 0.46482 31.00000 0 1.00000  
s 100 0.30000 0.46057 30.00000 0 1.00000  
w 100 0.15000 0.35887 15.00000 0 1.00000  

Pearson Correlations

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  census nbeds nurses lngstay age xratio culratio infpercent quality mschool ne nc s w
census
Aver # patients in hospital per day
1.00000
 
100
0.98195
<.0001
100
0.90850
<.0001
97
0.47231
<.0001
100
-0.03243
0.7500
99
0.07998
0.4289
100
0.13834
0.1699
100
0.39311
<.0001
96
0.78274
<.0001
97
0.62814
<.0001
96
0.07245
0.4738
100
0.07282
0.4715
100
0.01409
0.8893
100
-0.19906
0.0471
100
nbeds
Average # beds during study period
0.98195
<.0001
100
1.00000
 
100
0.92421
<.0001
97
0.39942
<.0001
100
-0.05124
0.6145
99
0.05150
0.6108
100
0.13622
0.1766
100
0.35675
0.0004
96
0.77459
<.0001
97
0.60421
<.0001
96
0.01936
0.8484
100
0.09295
0.3577
100
0.00971
0.9237
100
-0.15601
0.1212
100
nurses
Aver # nurses during study period
0.90850
<.0001
97
0.92421
<.0001
97
1.00000
 
97
0.34813
0.0005
97
-0.01094
0.9157
96
0.11666
0.2551
97
0.22487
0.0268
97
0.42388
<.0001
93
0.82152
<.0001
97
0.62466
<.0001
93
0.03696
0.7193
97
0.07003
0.4955
97
-0.01023
0.9208
97
-0.12081
0.2385
97
lngstay
Av length of hospital stay, in days
0.47231
<.0001
100
0.39942
<.0001
100
0.34813
0.0005
97
1.00000
 
100
0.19828
0.0491
99
0.38600
<.0001
100
0.33667
0.0006
100
0.53491
<.0001
96
0.41833
<.0001
97
0.31619
0.0017
96
0.47264
<.0001
100
-0.00661
0.9480
100
-0.17808
0.0763
100
-0.32821
0.0009
100
age
Average patient age
-0.03243
0.7500
99
-0.05124
0.6145
99
-0.01094
0.9157
96
0.19828
0.0491
99
1.00000
 
99
-0.02640
0.7954
99
-0.21415
0.0333
99
-0.00149
0.9886
95
-0.12527
0.2239
96
-0.14938
0.1485
95
0.17186
0.0890
99
-0.19888
0.0484
99
-0.00084
0.9934
99
0.05590
0.5826
99
xratio
# x-rays / # no signs of pneumonia
0.07998
0.4289
100
0.05150
0.6108
100
0.11666
0.2551
97
0.38600
<.0001
100
-0.02640
0.7954
99
1.00000
 
100
0.43979
<.0001
100
0.48001
<.0001
96
0.32826
0.0010
97
0.05605
0.5876
96
0.28393
0.0042
100
0.04200
0.6782
100
-0.24582
0.0137
100
-0.07852
0.4375
100
culratio
# cultures / # no hosp acq infect
0.13834
0.1699
100
0.13622
0.1766
100
0.22487
0.0268
97
0.33667
0.0006
100
-0.21415
0.0333
99
0.43979
<.0001
100
1.00000
 
100
0.59210
<.0001
96
0.43924
<.0001
97
0.27756
0.0062
96
0.25358
0.0109
100
0.03586
0.7232
100
-0.17372
0.0839
100
-0.12680
0.2087
100
infpercent
Percent acquiring infection in hospital
0.39311
<.0001
96
0.35675
0.0004
96
0.42388
<.0001
93
0.53491
<.0001
96
-0.00149
0.9886
95
0.48001
<.0001
96
0.59210
<.0001
96
1.00000
 
96
0.44869
<.0001
93
0.25749
0.0127
93
0.22311
0.0289
96
0.02126
0.8371
96
-0.24738
0.0151
96
0.02339
0.8210
96
quality
Jerry's bogus hospital quality index
0.78274
<.0001
97
0.77459
<.0001
97
0.82152
<.0001
97
0.41833
<.0001
97
-0.12527
0.2239
96
0.32826
0.0010
97
0.43924
<.0001
97
0.44869
<.0001
93
1.00000
 
97
0.89102
<.0001
93
0.12607
0.2185
97
0.12084
0.2384
97
-0.16447
0.1074
97
-0.09880
0.3356
97
mschool
 
0.62814
<.0001
96
0.60421
<.0001
96
0.62466
<.0001
93
0.31619
0.0017
96
-0.14938
0.1485
95
0.05605
0.5876
96
0.27756
0.0062
96
0.25749
0.0127
93
0.89102
<.0001
93
1.00000
 
96
0.06455
0.5321
96
0.06030
0.5595
96
-0.09325
0.3662
96
-0.03849
0.7097
96
ne
 
0.07245
0.4738
100
0.01936
0.8484
100
0.03696
0.7193
97
0.47264
<.0001
100
0.17186
0.0890
99
0.28393
0.0042
100
0.25358
0.0109
100
0.22311
0.0289
96
0.12607
0.2185
97
0.06455
0.5321
96
1.00000
 
100
-0.37666
0.0001
100
-0.36788
0.0002
100
-0.23607
0.0181
100
nc
 
0.07282
0.4715
100
0.09295
0.3577
100
0.07003
0.4955
97
-0.00661
0.9480
100
-0.19888
0.0484
99
0.04200
0.6782
100
0.03586
0.7232
100
0.02126
0.8371
96
0.12084
0.2384
97
0.06030
0.5595
96
-0.37666
0.0001
100
1.00000
 
100
-0.43880
<.0001
100
-0.28157
0.0045
100
s
 
0.01409
0.8893
100
0.00971
0.9237
100
-0.01023
0.9208
97
-0.17808
0.0763
100
-0.00084
0.9934
99
-0.24582
0.0137
100
-0.17372
0.0839
100
-0.24738
0.0151
96
-0.16447
0.1074
97
-0.09325
0.3662
96
-0.36788
0.0002
100
-0.43880
<.0001
100
1.00000
 
100
-0.27501
0.0056
100
w
 
-0.19906
0.0471
100
-0.15601
0.1212
100
-0.12081
0.2385
97
-0.32821
0.0009
100
0.05590
0.5826
99
-0.07852
0.4375
100
-0.12680
0.2087
100
0.02339
0.8210
96
-0.09880
0.3356
97
-0.03849
0.7097
96
-0.23607
0.0181
100
-0.28157
0.0045
100
-0.27501
0.0056
100
1.00000
 
100

Note the use of past tense, "average." You can tell what I think the independent variable, possible direction of causality might be.

The SGPlot Procedure

The SGPlot Procedure

The SGPlot Procedure

The SGScatter Procedure

The SGScatter Procedure

The SGScatter Procedure

The SGPlot Procedure

The SGPlot Procedure

The SGPlot Procedure

The SGPlot Procedure

The SGPlot Procedure

The SGPlot Procedure

The SGPlot Procedure

The SGPlot Procedure

The SGPlot Procedure

Open SENIC Data

Explore with Elementary tests

Just hospitals with med school affiliation

The CORR Procedure

The Corr Procedure

Variables Information

2 Variables: nbeds infpercent

Simple Statistics

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
nbeds 16 520.37500 207.10251 8326 184.00000 835.00000 Average # beds during study period
infpercent 14 5.17143 1.18154 72.40000 2.90000 7.70000 Percent acquiring infection in hospital

Pearson Correlations

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  nbeds infpercent
nbeds
Average # beds during study period
1.00000
 
16
0.07160
0.8078
14
infpercent
Percent acquiring infection in hospital
0.07160
0.8078
14
1.00000
 
14

For hospitals with a medical school affiliation, there was no evidence of a connection between hospital size and the risk of hospital-acquired infection. However, this conclusion is based on data from only 14 hospitals.

Open SENIC Data

Explore with Elementary tests

Simple regression (One explanatory variable)

The REG Procedure

Model: MODEL1

Dependent Variable: infpercent Percent acquiring infection in hospital

The Reg Procedure

MODEL1

Fit

infpercent

Number of Observations

Number of Observations Read 100
Number of Observations Used 93
Number of Observations with Missing Values 7

Analysis of Variance

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 30.13246 30.13246 19.93 <.0001
Error 91 137.57033 1.51176    
Corrected Total 92 167.70280      

Fit Statistics

Root MSE 1.22954 R-Square 0.1797
Dependent Mean 4.32688 Adj R-Sq 0.1707
Coeff Var 28.41624    

Parameter Estimates

Parameter Estimates
Variable Label DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t|
Intercept Intercept 1 3.60779 0.20542 17.56 <.0001
nurses Aver # nurses during study period 1 0.00436 0.00097605 4.46 <.0001

Hospitals with more nurses had a higher average risk of hospital-acquired infection.

The Ttest Procedure

Percent acquiring infection in hospital

Open SENIC Data

Explore with Elementary tests

Less Risk at Hospitals with Med School Affiliation?

The TTEST Procedure

 

Variable: infpercent (Percent acquiring infection in hospital)

Statistics

mdschl Method N Mean Std Dev Std Err Minimum Maximum
No   79 4.2051 1.3314 0.1498 1.3000 7.8000
Yes   14 5.1714 1.1815 0.3158 2.9000 7.7000
Diff (1-2) Pooled   -0.9664 1.3110 0.3802    
Diff (1-2) Satterthwaite   -0.9664   0.3495    

Confidence Limits

mdschl Method Mean 95% CL Mean Std Dev 95% CL Std Dev
No   4.2051 3.9069 4.5033 1.3314 1.1513 1.5788
Yes   5.1714 4.4892 5.8536 1.1815 0.8566 1.9035
Diff (1-2) Pooled -0.9664 -1.7215 -0.2112 1.3110 1.1451 1.5336
Diff (1-2) Satterthwaite -0.9664 -1.6970 -0.2357      

T-Tests

Method Variances DF t Value Pr > |t|
Pooled Equal 91 -2.54 0.0127
Satterthwaite Unequal 19.345 -2.76 0.0122

Equality of Variances

Equality of Variances
Method Num DF Den DF F Value Pr > F
Folded F 78 13 1.27 0.6585

Summary Panel

Summary Panel for infpercent

Q-Q Plots

Q-Q Plots for infpercent

Hospitals with a medical school affiliation had a higher average risk of hospital-acquired infection.

Open SENIC Data

Explore with Elementary tests

Relationship between region and medical school affiliation

The FREQ Procedure

The Freq Procedure

Table mdschl * region

Cross-Tabular Freq Table

Frequency
Col Pct
Table of mdschl by region
mdschl(Medical school affiliation) region(Region of U.S.A.)
Northeast North Central South West Total
No
19
79.17
24
80.00
24
88.89
13
86.67
80
 
Yes
5
20.83
6
20.00
3
11.11
2
13.33
16
 
Total
24
30
27
15
96
Frequency Missing = 4

Statistics for Table of mdschl by region

Chi-Square Tests

Statistic DF Value Prob
WARNING: 38% of the cells have expected counts less
than 5. Chi-Square may not be a valid test.
Chi-Square 3 1.2600 0.7387
Likelihood Ratio Chi-Square 3 1.3029 0.7284
Mantel-Haenszel Chi-Square 1 0.8758 0.3493
Phi Coefficient   0.1146  
Contingency Coefficient   0.1138  
Cramer's V   0.1146  

Sample Size = 96
Frequency Missing = 4

Open SENIC Data

Explore with Elementary tests

With expected frequencies

The FREQ Procedure

The Freq Procedure

Table mdschl * region

Cross-Tabular Freq Table

Frequency
Expected
Col Pct
Table of mdschl by region
mdschl(Medical school affiliation) region(Region of U.S.A.)
Northeast North Central South West Total
No
19
20
79.17
24
25
80.00
24
22.5
88.89
13
12.5
86.67
80
 
 
Yes
5
4
20.83
6
5
20.00
3
4.5
11.11
2
2.5
13.33
16
 
 
Total
24
30
27
15
96
Frequency Missing = 4

Statistics for Table of mdschl by region

Chi-Square Tests

Statistic DF Value Prob
WARNING: 38% of the cells have expected counts less
than 5. Chi-Square may not be a valid test.
Chi-Square 3 1.2600 0.7387
Likelihood Ratio Chi-Square 3 1.3029 0.7284
Mantel-Haenszel Chi-Square 1 0.8758 0.3493
Phi Coefficient   0.1146  
Contingency Coefficient   0.1138  
Cramer's V   0.1146  

Sample Size = 96
Frequency Missing = 4

  • There was no evidence of systematic regional differences in medical school affiliation, or
  • The small regional differences in medical school affiliation could have been due to chance, or
  • If this had been a random sample of hospitals, the regional differences in medical school affiliation are small enough to be attributed to sampling error.
  • If you say there are no regional differences in medical school affiliation, or there are no regional differences in medical school affiliation in the population, it's half marks off.

Open SENIC Data

Explore with Elementary tests

Regional differences in average infection risk?

The GLM Procedure

The GLM Procedure

Data

Class Levels

Class Level Information
Class Levels Values
region 4 North Central Northeast South West

Number of Observations

Number of Observations Read 100
Number of Observations Used 96

Open SENIC Data

Explore with Elementary tests

Regional differences in average infection risk?

The GLM Procedure

 

Dependent Variable: infpercent Percent acquiring infection in hospital

Analysis of Variance

infpercent

Overall ANOVA

Source DF Sum of Squares Mean Square F Value Pr > F
Model 3 13.9285440 4.6428480 2.67 0.0519
Error 92 159.7638519 1.7365636    
Corrected Total 95 173.6923958      

Fit Statistics

R-Square Coeff Var Root MSE infpercent Mean
0.080191 30.55001 1.317787 4.313542

Type I Model ANOVA

Source DF Type I SS Mean Square F Value Pr > F
region 3 13.92854398 4.64284799 2.67 0.0519

Type III Model ANOVA

Source DF Type III SS Mean Square F Value Pr > F
region 3 13.92854398 4.64284799 2.67 0.0519

Box Plot

Fit Plot for Percent acquiring infection in hospital by Region of U.S.A.

Open SENIC Data

Explore with Elementary tests

Regional differences in average infection risk?

The GLM Procedure

Means

region

infpercent

Distribution of infpercent by region

Distribution of infpercent by region

Means

Level of
region		 N infpercent
Mean Std Dev
North Central 27 4.35925926 1.44175621
Northeast 24 4.83333333 1.33633720
South 30 3.82000000 1.35351395
West 15 4.38666667 0.90700974
  • By conventional standards, the observed regional differences in infection risk are small enough to be attributed to chance, or
  • There is not quite enough evidence to conclude that hospitals in different geographic regions had differing risks of hospital-acquired infection.

Open SENIC Data

Explore with Elementary tests

Regional differences in average infection risk?

The MEANS Procedure

The Means Procedure

Summary statistics

Analysis Variable : infpercent Percent acquiring infection in hospital
Region of U.S.A. N Obs N Mean Std Dev Minimum Maximum
Northeast 24 24 4.8333333 1.3363372 2.5000000 7.7000000
North Central 31 27 4.3592593 1.4417562 1.3000000 7.8000000
South 30 30 3.8200000 1.3535139 1.4000000 6.2000000
West 15 15 4.3866667 0.9070097 2.6000000 5.6000000

Open SENIC Data

Explore with Elementary tests

Check regional differences in all quantitative variables

The GLM Procedure

The GLM Procedure

Data

Class Levels

Class Level Information
Class Levels Values
region 4 North Central Northeast South West

Number of Observations for census nbeds lngstay xratio culratio

Data for Analysis of census nbeds lngstay xratio culratio
Number of Observations Read 100
Number of Observations Used 100

Number of Observations for nurses quality

Data for Analysis of nurses quality
Number of Observations Read 100
Number of Observations Used 97

Number of Observations for age

Data for Analysis of age
Number of Observations Read 100
Number of Observations Used 99

Number of Observations for infpercent

Data for Analysis of infpercent
Number of Observations Read 100
Number of Observations Used 96

Note:Variables in each group are consistent with respect to the presence or absence of missing values.

Open SENIC Data

Explore with Elementary tests

Check regional differences in all quantitative variables

The GLM Procedure

 

Dependent Variable: census Aver # patients in hospital per day

Missing Value Pattern 1

Analysis of Variance

census

Overall ANOVA

Source DF Sum of Squares Mean Square F Value Pr > F
Model 3 102804.290 34268.097 1.38 0.2522
Error 96 2376309.900 24753.228    
Corrected Total 99 2479114.190      

Fit Statistics

R-Square Coeff Var Root MSE census Mean
0.041468 81.76892 157.3316 192.4100

Type I Model ANOVA

Source DF Type I SS Mean Square F Value Pr > F
region 3 102804.2897 34268.0966 1.38 0.2522

Type III Model ANOVA

Source DF Type III SS Mean Square F Value Pr > F
region 3 102804.2897 34268.0966 1.38 0.2522

Open SENIC Data

Explore with Elementary tests

Check regional differences in all quantitative variables

The GLM Procedure

 

Dependent Variable: nbeds Average # beds during study period

nbeds

Overall ANOVA

Source DF Sum of Squares Mean Square F Value Pr > F
Model 3 104744.655 34914.885 0.89 0.4503
Error 96 3774775.905 39320.582    
Corrected Total 99 3879520.560      

Fit Statistics

R-Square Coeff Var Root MSE nbeds Mean
0.026999 78.41434 198.2942 252.8800

Type I Model ANOVA

Source DF Type I SS Mean Square F Value Pr > F
region 3 104744.6546 34914.8849 0.89 0.4503

Type III Model ANOVA

Source DF Type III SS Mean Square F Value Pr > F
region 3 104744.6546 34914.8849 0.89 0.4503

Open SENIC Data

Explore with Elementary tests

Check regional differences in all quantitative variables

The GLM Procedure

 

Dependent Variable: lngstay Av length of hospital stay, in days

lngstay

Overall ANOVA

Source DF Sum of Squares Mean Square F Value Pr > F
Model 3 111.2368296 37.0789432 12.67 <.0001
Error 96 281.0362294 2.9274607    
Corrected Total 99 392.2730590      

Fit Statistics

R-Square Coeff Var Root MSE lngstay Mean
0.283570 17.65337 1.710982 9.692100

Type I Model ANOVA

Source DF Type I SS Mean Square F Value Pr > F
region 3 111.2368296 37.0789432 12.67 <.0001

Type III Model ANOVA

Source DF Type III SS Mean Square F Value Pr > F
region 3 111.2368296 37.0789432 12.67 <.0001

Open SENIC Data

Explore with Elementary tests

Check regional differences in all quantitative variables

The GLM Procedure

 

Dependent Variable: xratio # x-rays / # no signs of pneumonia

xratio

Overall ANOVA

Source DF Sum of Squares Mean Square F Value Pr > F
Model 3 4296.22560 1432.07520 3.96 0.0105
Error 96 34751.29440 361.99265    
Corrected Total 99 39047.52000      

Fit Statistics

R-Square Coeff Var Root MSE xratio Mean
0.110026 23.31059 19.02610 81.62000

Type I Model ANOVA

Source DF Type I SS Mean Square F Value Pr > F
region 3 4296.225599 1432.075200 3.96 0.0105

Type III Model ANOVA

Source DF Type III SS Mean Square F Value Pr > F
region 3 4296.225599 1432.075200 3.96 0.0105

Open SENIC Data

Explore with Elementary tests

Check regional differences in all quantitative variables

The GLM Procedure

 

Dependent Variable: culratio # cultures / # no hosp acq infect

culratio

Overall ANOVA

Source DF Sum of Squares Mean Square F Value Pr > F
Model 3 916.88158 305.62719 2.96 0.0363
Error 96 9927.66842 103.41321    
Corrected Total 99 10844.55000      

Fit Statistics

R-Square Coeff Var Root MSE culratio Mean
0.084548 65.06224 10.16923 15.63000

Type I Model ANOVA

Source DF Type I SS Mean Square F Value Pr > F
region 3 916.8815780 305.6271927 2.96 0.0363

Type III Model ANOVA

Source DF Type III SS Mean Square F Value Pr > F
region 3 916.8815780 305.6271927 2.96 0.0363

Open SENIC Data

Explore with Elementary tests

Check regional differences in all quantitative variables

The GLM Procedure

Means

region

Means

Level of
region		 N census nbeds lngstay xratio culratio
Mean Std Dev Mean Std Dev Mean Std Dev Mean Std Dev Mean Std Dev
North Central 31 209.516129 161.582563 280.193548 209.562150 9.6725806 1.21104904 82.8580645 19.0499654 16.1870968 13.0619994
Northeast 24 212.708333 170.140474 259.666667 188.278163 11.3579167 2.79054924 91.6041667 20.7747229 20.3291667 9.6820533
South 30 195.800000 149.074941 255.800000 195.947284 9.1533333 1.21864632 74.2000000 15.2190443 12.8666667 8.4164999
West 15 117.800000 142.118261 179.733333 194.294131 8.1446667 1.03040815 77.9266667 22.7105220 12.4866667 6.5401908

Open SENIC Data

Explore with Elementary tests

Check regional differences in all quantitative variables

The GLM Procedure

 

Dependent Variable: nurses Aver # nurses during study period

Missing Value Pattern 2

Analysis of Variance

nurses

Overall ANOVA

Source DF Sum of Squares Mean Square F Value Pr > F
Model 3 30827.096 10275.699 0.53 0.6624
Error 93 1801108.987 19366.763    
Corrected Total 96 1831936.082      

Fit Statistics

R-Square Coeff Var Root MSE nurses Mean
0.016828 79.36362 139.1645 175.3505

Type I Model ANOVA

Source DF Type I SS Mean Square F Value Pr > F
region 3 30827.09557 10275.69852 0.53 0.6624

Type III Model ANOVA

Source DF Type III SS Mean Square F Value Pr > F
region 3 30827.09557 10275.69852 0.53 0.6624

Open SENIC Data

Explore with Elementary tests

Check regional differences in all quantitative variables

The GLM Procedure

 

Dependent Variable: quality Jerry's bogus hospital quality index

quality

Overall ANOVA

Source DF Sum of Squares Mean Square F Value Pr > F
Model 3 2247322.64 749107.55 1.62 0.1910
Error 93 43115858.27 463611.38    
Corrected Total 96 45363180.91      

Fit Statistics

R-Square Coeff Var Root MSE quality Mean
0.049541 70.06466 680.8901 971.8025

Type I Model ANOVA

Source DF Type I SS Mean Square F Value Pr > F
region 3 2247322.638 749107.546 1.62 0.1910

Type III Model ANOVA

Source DF Type III SS Mean Square F Value Pr > F
region 3 2247322.638 749107.546 1.62 0.1910

Open SENIC Data

Explore with Elementary tests

Check regional differences in all quantitative variables

The GLM Procedure

Means

region

Means

Level of
region		 N nurses quality
Mean Std Dev Mean Std Dev
North Central 30 189.733333 135.714694 1095.29767 760.222776
Northeast 24 184.208333 138.600765 1122.15792 807.275672
South 28 173.142857 137.046819 795.23750 490.473119
West 15 136.533333 150.719639 813.83133 589.881941

Open SENIC Data

Explore with Elementary tests

Check regional differences in all quantitative variables

The GLM Procedure

 

Dependent Variable: age Average patient age

Missing Value Pattern 3

Analysis of Variance

age

Overall ANOVA

Source DF Sum of Squares Mean Square F Value Pr > F
Model 3 102.580715 34.193572 1.75 0.1612
Error 95 1851.609184 19.490623    
Corrected Total 98 1954.189899      

Fit Statistics

R-Square Coeff Var Root MSE age Mean
0.052493 8.298689 4.414819 53.19899

Type I Model ANOVA

Source DF Type I SS Mean Square F Value Pr > F
region 3 102.5807153 34.1935718 1.75 0.1612

Type III Model ANOVA

Source DF Type III SS Mean Square F Value Pr > F
region 3 102.5807153 34.1935718 1.75 0.1612

Open SENIC Data

Explore with Elementary tests

Check regional differences in all quantitative variables

The GLM Procedure

Means

region

Means

Level of
region		 N age
Mean Std Dev
North Central 31 51.8903226 4.50335836
Northeast 23 54.5869565 4.00389632
South 30 53.1933333 4.24783380
West 15 53.7866667 5.12164408

Open SENIC Data

Explore with Elementary tests

Check regional differences in all quantitative variables

The GLM Procedure

 

Dependent Variable: infpercent Percent acquiring infection in hospital

Missing Value Pattern 4

Analysis of Variance

infpercent

Overall ANOVA

Source DF Sum of Squares Mean Square F Value Pr > F
Model 3 13.9285440 4.6428480 2.67 0.0519
Error 92 159.7638519 1.7365636    
Corrected Total 95 173.6923958      

Fit Statistics

R-Square Coeff Var Root MSE infpercent Mean
0.080191 30.55001 1.317787 4.313542

Type I Model ANOVA

Source DF Type I SS Mean Square F Value Pr > F
region 3 13.92854398 4.64284799 2.67 0.0519

Type III Model ANOVA

Source DF Type III SS Mean Square F Value Pr > F
region 3 13.92854398 4.64284799 2.67 0.0519

Open SENIC Data

Explore with Elementary tests

Check regional differences in all quantitative variables

The GLM Procedure

Means

region

Means

Level of
region		 N infpercent
Mean Std Dev
North Central 27 4.35925926 1.44175621
Northeast 24 4.83333333 1.33633720
South 30 3.82000000 1.35351395
West 15 4.38666667 0.90700974

There were regional differences in average length of hospital stay and infection monitoring.