1          ***********************************************************************;
2          *** SENIC hospital study from Appendix C of:                        ***;
3          *** Neter, J., Kutner, M. H., Nachtsheim, C. J., and Wasserman, W., ***;
4          *** Applied Linear Statistical Models, 4th Edition, Richard D.      ***;
5          *** Irwin, Inc., Burr Ridge, Illinois, 1996.                        ***;
6          ***********************************************************************;
7          OPTIONS PS=256 LS=121 NOCENTER NODATE NONUMBER;
8
9          DATA SENIC; Infile cards missover;
10           TITLE1 'SENIC database from NKNW 1996 (Appendix C)';
11           INPUT IDNo LtofStay Age InfRisk CulRatio XRay NoBeds MedSch Region Census Nurses Services;
12         *** label IDNo   = 'Identification number'
13                 LtofStay = 'Length of stay (days)'
14                 Age      = 'Patient age (years)'
15                 InfRisk  = 'Average Infection risk (%)'
16                 CulRatio = 'ratio cultures to patients w/o symptoms'
17                 XRay     = 'ratio xrays to patients w/o symptoms'
18                 NoBeds   = 'Average no. of beds in hosp.'
19                 MedSch   = 'Med School Affiliation'
20                 Region   = 'Region NE, NC, S, W'
21                 Census   = 'Average no. patients in hosp.'
22                 Nurses   = 'Av. no. nurses'
23                 Services = '% of 35 potential service facilities';
24         CARDS;
NOTE: The data set WORK.SENIC has 113 observations and 12 variables.
NOTE: DATA statement used:
      real time           0.30 seconds
      cpu time            0.12 seconds
24       !        Run;
138        ;
139        Proc print data=SENIC; RUN;
NOTE: There were 113 observations read from the data set WORK.SENIC.
NOTE: The PROCEDURE PRINT printed page 1.
NOTE: PROCEDURE PRINT used:
      real time           0.26 seconds
      cpu time            0.09 seconds
 
 
SENIC database from NKNW 1996 (Appendix C)
              Ltof           Inf    Cul             No    Med
Obs   IDNo    Stay    Age   Risk   Ratio    XRay   Beds   Sch   Region   Census   Nurses   Services
 
  1      1    7.13   55.7    4.1     9.0    39.6    279    2       4       207      241      60.0
  2      2    8.82   58.2    1.6     3.8    51.7     80    2       2        51       52      40.0
  3      3    8.34   56.9    2.7     8.1    74.0    107    2       3        82       54      20.0
  4      4    8.95   53.7    5.6    18.9   122.8    147    2       4        53      148      40.0
  5      5   11.20   56.5    5.7    34.5    88.9    180    2       1       134      151      40.0
  6      6    9.76   50.9    5.1    21.9    97.0    150    2       2       147      106      40.0
  7      7    9.68   57.8    4.6    16.7    79.0    186    2       3       151      129      40.0
  8      8   11.18   45.7    5.4    60.5    85.8    640    1       2       399      360      60.0
  9      9    8.67   48.2    4.3    24.4    90.8    182    2       3       130      118      40.0
 10     10    8.84   56.3    6.3    29.6    82.6     85    2       1        59       66      40.0
. . .
109    109   11.80   53.8    5.7     9.1   116.9    571    1       2       441      469      62.9
110    110    9.50   49.3    5.8    42.0    70.9     98    2       3        68       46      22.9
111    111    7.70   56.9    4.4    12.2    67.9    129    2       4        85      136      62.9
112    112   17.94   56.2    5.9    26.4    91.8    835    1       1       791      407      62.9
113    113    9.41   59.5    3.1    20.6    91.7     29    2       3        20       22      22.9
 
 
 

140        proc reg data=SENIC all LINEPRINTER;
141           TITLE2 'Full Model with diagnostics';
142           model InfRisk = LtofStay Age CulRatio XRay NoBeds Census Nurses Services
143                         / all influence collin partial;
144           output out=next1 p=YHat r=e;
145           OPTIONS PS=50 LS=160; PLOT RESIDUAL.*PREDICTED. / VREF=0;
146           OPTIONS PS=60 LS=120;
147        Run;
NOTE: 113 observations read.
NOTE: 113 observations used in computations.
148        OPTIONS PS=50 LS=130;
NOTE: The data set WORK.NEXT1 has 113 observations and 14 variables.
NOTE: The PROCEDURE REG printed pages 2-28.
NOTE: PROCEDURE REG used:
      real time           0.63 seconds
      cpu time            0.22 seconds
149        proc plot data=next1; PLOT e*YHat / VREF=0;
150        run;
151        OPTIONS PS=256 LS=121;
152
NOTE: There were 113 observations read from the data set WORK.NEXT1.
NOTE: The PROCEDURE PLOT printed page 29.
NOTE: PROCEDURE PLOT used:
      real time           0.02 seconds
      cpu time            0.01 seconds
 
 
SENIC database from NKNW 1996 (Appendix C)
Full Model with diagnostics
The REG Procedure
                               Descriptive Statistics
                                           Uncorrected                      Standard
Variable             Sum           Mean             SS       Variance      Deviation
Intercept      113.00000        1.00000      113.00000              0              0
LtofStay      1090.26000        9.64832          10928        3.65366        1.91146
Age           6015.20000       53.23186         322430       19.90594        4.46161
CulRatio      1784.60000       15.79292          39916      104.74924       10.23471
XRay          9224.00000       81.62832         794935      374.95776       19.36383
NoBeds             28495      252.16814       11350621          37188      192.84269
Census             21625      191.37168        6786317          23642      153.75956
Nurses             19577      173.24779        5563895          19395      139.26539
Services      4877.00000       43.15929         236367      231.06619       15.20086
InfRisk        492.10000        4.35487     2344.41000        1.79803        1.34091
 
                           Uncorrected Sums of Squares and Crossproducts
Variable          Intercept          LtofStay               Age          CulRatio              XRay
Intercept               113           1090.26            6015.2            1784.6              9224
LtofStay            1090.26        10928.3862         58217.008         17934.179         90581.657
Age                  6015.2         58217.008         322429.74          93842.53         490828.22
CulRatio             1784.6         17934.179          93842.53          39915.96         155106.57
XRay                   9224         90581.657         490828.22         155106.57         794934.88
NoBeds                28495         291825.09         1511173.4          480905.9         2345162.1
Census                21625         224243.93         1146930.4          366716.9         1786191.9
Nurses                19577         199032.96         1036347.9            340930         1621409.2
Services               4877         48211.858         259304.51           80247.9         401791.21
InfRisk               492.1          4901.071          26196.13           8631.16           41487.8
 
                           Uncorrected Sums of Squares and Crossproducts
Variable             NoBeds            Census            Nurses          Services           InfRisk
Intercept             28495             21625             19577              4877             492.1
LtofStay          291825.09         224243.93         199032.96         48211.858          4901.071
Age               1511173.4         1146930.4         1036347.9         259304.51          26196.13
CulRatio           480905.9          366716.9            340930           80247.9           8631.16
XRay              2345162.1         1786191.9         1621409.2         401791.21           41487.8
NoBeds             11350621           8710988           7690447         1490677.5          134511.4
Census              8710988           6786317           5923892         1136997.3          102981.5
Nurses              7690447           5923892           5563895         1030697.7           93495.4
Services          1490677.5         1136997.3         1030697.7         236367.28          22180.61
InfRisk            134511.4          102981.5           93495.4          22180.61           2344.41

SENIC database from NKNW 1996 (Appendix C)
Full Model with diagnostics
 
The REG Procedure
                                           Correlation
Variable          LtofStay               Age          CulRatio              XRay            NoBeds
LtofStay            1.0000            0.1889            0.3267            0.3825            0.4093
Age                 0.1889            1.0000           -0.2258           -0.0189           -0.0588
CulRatio            0.3267           -0.2258            1.0000            0.4250            0.1397
XRay                0.3825           -0.0189            0.4250            1.0000            0.0458
NoBeds              0.4093           -0.0588            0.1397            0.0458            1.0000
Census              0.4739           -0.0548            0.1429            0.0629            0.9810
Nurses              0.3404           -0.0829            0.1989            0.0774            0.9155
Services            0.3555           -0.0405            0.1851            0.1119            0.7945
InfRisk             0.5334            0.0011            0.5592            0.4534            0.3598
 
                                  Correlation
Variable            Census            Nurses          Services           InfRisk
LtofStay            0.4739            0.3404            0.3555            0.5334
Age                -0.0548           -0.0829           -0.0405            0.0011
CulRatio            0.1429            0.1989            0.1851            0.5592
XRay                0.0629            0.0774            0.1119            0.4534
NoBeds              0.9810            0.9155            0.7945            0.3598
Census              1.0000            0.9079            0.7781            0.3814
Nurses              0.9079            1.0000            0.7835            0.3940
Services            0.7781            0.7835            1.0000            0.4126
InfRisk             0.3814            0.3940            0.4126            1.0000
 
                                  Model Crossproducts X'X X'Y Y'Y
Variable          Intercept          LtofStay               Age          CulRatio              XRay
Intercept               113           1090.26            6015.2            1784.6              9224
LtofStay            1090.26        10928.3862         58217.008         17934.179         90581.657
Age                  6015.2         58217.008         322429.74          93842.53         490828.22
CulRatio             1784.6         17934.179          93842.53          39915.96         155106.57
XRay                   9224         90581.657         490828.22         155106.57         794934.88
NoBeds                28495         291825.09         1511173.4          480905.9         2345162.1
Census                21625         224243.93         1146930.4          366716.9         1786191.9
Nurses                19577         199032.96         1036347.9            340930         1621409.2
Services               4877         48211.858         259304.51           80247.9         401791.21
InfRisk               492.1          4901.071          26196.13           8631.16           41487.8
 
                                  Model Crossproducts X'X X'Y Y'Y
Variable             NoBeds            Census            Nurses          Services           InfRisk
Intercept             28495             21625             19577              4877             492.1
LtofStay          291825.09         224243.93         199032.96         48211.858          4901.071
Age               1511173.4         1146930.4         1036347.9         259304.51          26196.13
CulRatio           480905.9          366716.9            340930           80247.9           8631.16
XRay              2345162.1         1786191.9         1621409.2         401791.21           41487.8
NoBeds             11350621           8710988           7690447         1490677.5          134511.4
Census              8710988           6786317           5923892         1136997.3          102981.5
Nurses              7690447           5923892           5563895         1030697.7           93495.4
Services          1490677.5         1136997.3         1030697.7         236367.28          22180.61
InfRisk            134511.4          102981.5           93495.4          22180.61           2344.41
 
                             X'X Inverse, Parameter Estimates, and SSE
Variable          Intercept          LtofStay               Age          CulRatio              XRay
Intercept      1.5858508096      -0.001322824      -0.025196942      -0.002266262      -0.001378744
LtofStay       -0.001322824      0.0051859266      -0.000559317      -0.000236511      -0.000125206
Age            -0.025196942      -0.000559317      0.0005385865      0.0000791345      3.7315905E-6
CulRatio       -0.002266262      -0.000236511      0.0000791345      0.0001256418      -0.000018668
XRay           -0.001378744      -0.000125206      3.7315905E-6      -0.000018668      0.0000327219
NoBeds         -0.000134192      0.0000554848      -5.086015E-6      -1.744267E-6      1.2384372E-7
Census          0.000244251      -0.000120582      0.0000114987      6.2102827E-6      1.3610934E-6
Nurses         9.3582332E-6      0.0000327339      -1.741494E-6      -3.965013E-6      -6.872235E-7
Services       -0.002065552       -0.00003638      -5.727461E-6      -4.319302E-6      -3.724035E-6
InfRisk        -0.747255248      0.1769313961       0.016213596      0.0469933765      0.0120368799
 
                             X'X Inverse, Parameter Estimates, and SSE
Variable             NoBeds            Census            Nurses          Services           InfRisk
Intercept      -0.000134192       0.000244251      9.3582332E-6      -0.002065552      -0.747255248
LtofStay       0.0000554848      -0.000120582      0.0000327339       -0.00003638      0.1769313961
Age            -5.086015E-6      0.0000114987      -1.741494E-6      -5.727461E-6       0.016213596
CulRatio       -1.744267E-6      6.2102827E-6      -3.965013E-6      -4.319302E-6      0.0469933765
XRay           1.2384372E-7      1.3610934E-6      -6.872235E-7      -3.724035E-6      0.0120368799
NoBeds         7.9876579E-6       -8.96859E-6      -8.686793E-7      -6.032734E-6       -0.00144718
Census          -8.96859E-6      0.0000131054      -1.498917E-6      2.5756281E-6      0.0007279559
Nurses         -8.686793E-7      -1.498917E-6      3.3422233E-6      -4.330367E-6       0.001906211
Services       -6.032734E-6      2.5756281E-6      -4.330367E-6      0.0001128895      0.0162795745
InfRisk         -0.00144718      0.0007279559       0.001906211      0.0162795745      95.639819869
 

SENIC database from NKNW 1996 (Appendix C)
Full Model with diagnostics
 
The REG Procedure
Model: MODEL1
Dependent Variable: InfRisk
 
Analysis of Variance
                                    Sum of           Mean
Source                   DF        Squares         Square    F Value    Pr > F
Model                     8      105.74000       13.21750      14.37    <.0001
Error                   104       95.63982        0.91961
Corrected Total         112      201.37982
 
Root MSE              0.95896    R-Square     0.5251
Dependent Mean        4.35487    Adj R-Sq     0.4885
Coeff Var            22.02053
 
                                              Parameter Estimates
                                                                                                         Squared
                 Parameter     Standard                                               Standardized  Semi-partial
Variable   DF     Estimate        Error  t Value  Pr > |t|    Type I SS   Type II SS      Estimate   Corr Type I
Intercept   1     -0.74726      1.20763    -0.62    0.5374   2143.03018      0.35211             0             .
LtofStay    1      0.17693      0.06906     2.56    0.0118     57.30511      6.03648       0.25221       0.28456
Age         1      0.01621      0.02226     0.73    0.4679      2.07506      0.48809       0.05395       0.01030
CulRatio    1      0.04699      0.01075     4.37    <.0001     31.45735     17.57678       0.35868       0.15621
XRay        1      0.01204      0.00549     2.19    0.0304      3.84765      4.42782       0.17382       0.01911
NoBeds      1     -0.00145      0.00271    -0.53    0.5945      6.51642      0.26220      -0.20813       0.03236
Census      1   0.00072796      0.00347     0.21    0.8343      0.17436      0.04044       0.08347    0.00086581
Nurses      1      0.00191      0.00175     1.09    0.2794      2.01642      1.08719       0.19798       0.01001
Services    1      0.01628      0.01019     1.60    0.1131      2.34765      2.34765       0.18455       0.01166
 
                                              Parameter Estimates
                   Squared        Squared        Squared
                   Partial   Semi-partial        Partial                    Variance
Variable   DF  Corr Type I   Corr Type II   Corr Type II     Tolerance     Inflation     95% Confidence Limits
Intercept   1            .              .              .             .             0      -3.14203       1.64752
LtofStay    1      0.28456        0.02998        0.05937       0.47122       2.12214       0.03999       0.31388
Age         1      0.01440        0.00242        0.00508       0.83281       1.20076      -0.02792       0.06035
CulRatio    1      0.22153        0.08728        0.15525       0.67842       1.47402       0.02568       0.06831
XRay        1      0.03481        0.02199        0.04425       0.72772       1.37416       0.00116       0.02291
NoBeds      1      0.06108        0.00130        0.00273       0.03006      33.26931      -0.00682       0.00393
Census      1      0.00174     0.00020079     0.00042261       0.02882      34.70183      -0.00616       0.00761
Nurses      1      0.02016        0.00540        0.01124       0.13774       7.26005      -0.00157       0.00538
Services    1      0.02396        0.01166        0.02396       0.34229       2.92151      -0.00393       0.03648
 
                                      Covariance of Estimates
Variable          Intercept          LtofStay               Age          CulRatio              XRay
Intercept      1.4583700555      -0.001216487      -0.023171451      -0.002084085      -0.001267912
LtofStay       -0.001216487      0.0047690489      -0.000514356      -0.000217498      -0.000115141
Age            -0.023171451      -0.000514356      0.0004952915      0.0000727731      3.4316216E-6
CulRatio       -0.002084085      -0.000217498      0.0000727731      0.0001155419      -0.000017167
XRay           -0.001267912      -0.000115141      3.4316216E-6      -0.000017167      0.0000300915
NoBeds         -0.000123405      0.0000510246      -4.677169E-6      -1.604051E-6      1.1388838E-7
Census         0.0002246165      -0.000110889      0.0000105743      5.7110607E-6      1.2516801E-6
Nurses         8.6059591E-6      0.0000301025      -1.601502E-6       -3.64628E-6      -6.319801E-7
Services        -0.00189951      -0.000033456      -5.267051E-6      -3.972089E-6      -3.424674E-6
 
                             Covariance of Estimates
Variable             NoBeds            Census            Nurses          Services
Intercept      -0.000123405      0.0002246165      8.6059591E-6       -0.00189951
LtofStay       0.0000510246      -0.000110889      0.0000301025      -0.000033456
 
Covariance of Estimates
Variable             NoBeds            Census            Nurses          Services
Age            -4.677169E-6      0.0000105743      -1.601502E-6      -5.267051E-6
CulRatio       -1.604051E-6      5.7110607E-6       -3.64628E-6      -3.972089E-6
XRay           1.1388838E-7      1.2516801E-6      -6.319801E-7      -3.424674E-6
NoBeds         7.3455592E-6      -8.247638E-6      -7.988493E-7      -5.547785E-6
Census         -8.247638E-6      0.0000120519      -1.378425E-6      2.3685827E-6
Nurses         -7.988493E-7      -1.378425E-6      3.0735542E-6      -3.982265E-6
Services       -5.547785E-6      2.3685827E-6      -3.982265E-6      0.0001038147
 

SENIC database from NKNW 1996 (Appendix C)
Full Model with diagnostics
 
The REG Procedure
Model: MODEL1
Dependent Variable: InfRisk
                                     Correlation of Estimates
Variable          Intercept          LtofStay               Age          CulRatio              XRay
Intercept            1.0000           -0.0146           -0.8622           -0.1606           -0.1914
LtofStay            -0.0146            1.0000           -0.3347           -0.2930           -0.3039
Age                 -0.8622           -0.3347            1.0000            0.3042            0.0281
CulRatio            -0.1606           -0.2930            0.3042            1.0000           -0.2911
XRay                -0.1914           -0.3039            0.0281           -0.2911            1.0000
NoBeds              -0.0377            0.2726           -0.0775           -0.0551            0.0077
Census               0.0536           -0.4625            0.1369            0.1530            0.0657
Nurses               0.0041            0.2486           -0.0410           -0.1935           -0.0657
Services            -0.1544           -0.0475           -0.0232           -0.0363           -0.0613
 
                            Correlation of Estimates
Variable             NoBeds            Census            Nurses          Services
Intercept           -0.0377            0.0536            0.0041           -0.1544
LtofStay             0.2726           -0.4625            0.2486           -0.0475
Age                 -0.0775            0.1369           -0.0410           -0.0232
CulRatio            -0.0551            0.1530           -0.1935           -0.0363
XRay                 0.0077            0.0657           -0.0657           -0.0613
NoBeds               1.0000           -0.8766           -0.1681           -0.2009
Census              -0.8766            1.0000           -0.2265            0.0670
Nurses              -0.1681           -0.2265            1.0000           -0.2229
Services            -0.2009            0.0670           -0.2229            1.0000
 
Sequential Parameter Estimates
   Intercept          LtofStay               Age          CulRatio              XRay
    4.354867                 0                 0                 0                 0
    0.744304          0.374217                 0                 0                 0
    2.265909          0.387916         -0.031067                 0                 0
    0.397766          0.269740          0.008351          0.057623                 0
   -0.083236          0.239464          0.008050          0.050572          0.011031
   -0.424573          0.169755          0.017327          0.050376          0.013107
   -0.393711          0.157208          0.018602          0.050908          0.013235
   -0.449386          0.182178          0.017040          0.047616          0.012574
   -0.747255          0.176931          0.016214          0.046993          0.012037
 
                  Sequential Parameter Estimates
      NoBeds            Census            Nurses          Services
           0                 0                 0                 0
           0                 0                 0                 0
           0                 0                 0                 0
           0                 0                 0                 0
           0                 0                 0                 0
    0.001403                 0                 0                 0
    0.000299          0.001472                 0                 0
   -0.000577          0.000357          0.002531                 0
   -0.001447          0.000728          0.001906          0.016280
 
                                                Collinearity Diagnostics
                           Condition   -----------------------------Proportion of Variation-----------------------------
  Number    Eigenvalue         Index     Intercept      LtofStay           Age      CulRatio          XRay        NoBeds
       1       7.92221       1.00000    0.00008203    0.00026608    0.00008384       0.00241    0.00055647    0.00014889
       2       0.70667       3.34824    0.00062369       0.00113    0.00066774       0.02105       0.00504       0.00316
       3       0.23449       5.81248       0.00150       0.00158       0.00222       0.67694    0.00076682    0.00000481
       4       0.04727      12.94588    0.00082735       0.04556    0.00039099       0.00635    0.00030739       0.02079
       5       0.03554      14.93049       0.00123       0.00104       0.00130       0.09639       0.43090       0.00276
       6       0.02878      16.59008       0.01898       0.01720       0.02926       0.06172       0.48518    0.00092814
       7       0.01657      21.86586       0.03592       0.60385       0.02075       0.05279       0.05646       0.10941
       8       0.00546      38.09407       0.03300       0.27836       0.00195       0.01730       0.00245       0.85653
       9       0.00301      51.29072       0.90784       0.05102       0.94338       0.06505       0.01834       0.00627
 
Number        Census         Nurses       Services
       1    0.00014895     0.00070822     0.00057691
       2       0.00351        0.01543     0.00004055
       3   8.741457E-8        0.00219        0.00244
       4       0.05162        0.47665        0.11157
       5    0.00000597        0.22472        0.43144
       6    0.00018174        0.13803        0.36303
       7       0.00117        0.13349        0.06932
       8       0.93113        0.00712        0.01485
       9       0.01224        0.00166        0.00673

SENIC database from NKNW 1996 (Appendix C)
Full Model with diagnostics
 
The REG Procedure
Model: MODEL1
Dependent Variable: InfRisk
 
                                          Output Statistics
           Dep Var Predicted    Std Error                                                   Std Error
     Obs   InfRisk     Value Mean Predict     95% CL Mean        95% CL Predict    Residual  Residual
       1    4.1000    3.5001       0.3025    2.9002    4.0999    1.5060    5.4941    0.5999     0.910
       2    1.6000    3.2294       0.2303    2.7727    3.6862    1.2737    5.1852   -1.6294     0.931
       3    2.7000    3.2557       0.2019    2.8553    3.6560    1.3123    5.1990   -0.5557     0.937
       4    5.6000    4.8324       0.3086    4.2204    5.4444    2.8347    6.8301    0.7676     0.908
       5    5.7000    5