Corrélation inter-périodes de la mortalité.
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMF2_1 LSMF2_2 LSMF2_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMF2_1 557 0.133613 0.618521 231.551538 -1.177364 1.355918 smr cancer utérus (fem 85-87)
LSMF2_2 557 0.165155 0.636327 286.213190 -1.217553 1.406667 smr cancer utérus (fem 88-90)
LSMF2_3 557 0.037593 0.578818 65.148142 -1.163246 1.699010 smr cancer du col/corps utérus (fem)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CF2_2
LSMF2_1 LSMF2_2 LSMF2_3
LSMF2_1 1.00000 0.14759 0.04005
smr cancer utérus (fem 85-87) 0.0 0.0005 0.3454
LSMF2_2 0.14759 1.00000 0.21842
smr cancer utérus (fem 88-90) 0.0005 0.0 0.0001
LSMF2_3 0.04005 0.21842 1.00000
smr cancer du col/corps utérus (fem) 0.3454 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMF3_1 LSMF3_2 LSMF3_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMF3_1 557 0.077401 0.674822 113.315256 -1.281307 1.539723 smr accident de la route (fem 85-87)
LSMF3_2 557 0.154051 0.711635 225.530083 -1.564517 1.598950 smr accident de la route (fem 88-90)
LSMF3_3 557 -0.066552 0.648661 -97.431426 -1.768312 1.360020 smr par accident de la route (fem)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CF3_2
LSMF3_1 LSMF3_2 LSMF3_3
LSMF3_1 1.00000 0.30405 0.16798
smr accident de la route (fem 85-87) 0.0 0.0001 0.0001
LSMF3_2 0.30405 1.00000 0.28772
smr accident de la route (fem 88-90) 0.0001 0.0 0.0001
LSMF3_3 0.16798 0.28772 1.00000
smr par accident de la route (fem) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMF4_1 LSMF4_2 LSMF4_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMF4_1 557 0.091467 0.748780 205.342415 -1.277934 1.434928 smr cancer du poumon (fem 85-87)
LSMF4_2 557 0.211722 0.761105 475.315595 -1.135743 1.273615 smr cancer du poumon (fem 88-90)
LSMF4_3 557 0.210226 0.860663 471.956907 -1.358958 1.549469 smr par cancer du poumon (fem)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CF4_2
LSMF4_1 LSMF4_2 LSMF4_3
LSMF4_1 1.00000 0.41170 0.46621
smr cancer du poumon (fem 85-87) 0.0 0.0001 0.0001
LSMF4_2 0.41170 1.00000 0.35479
smr cancer du poumon (fem 88-90) 0.0001 0.0 0.0001
LSMF4_3 0.46621 0.35479 1.00000
smr par cancer du poumon (fem) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMF6_1 LSMF6_2 LSMF6_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMF6_1 557 -0.028433 1.102196 -203.321860 -1.650082 0.993531 smr cancer du sein (fem 85-87)
LSMF6_2 557 0.042104 0.935527 301.086093 -1.124575 0.932799 smr cancer du sein (fem 88-90)
LSMF6_3 557 -0.053480 0.952240 -382.432188 -1.106455 1.074705 smr par cancer du sein (fem)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CF6_2
LSMF6_1 LSMF6_2 LSMF6_3
LSMF6_1 1.00000 0.18235 0.15723
smr cancer du sein (fem 85-87) 0.0 0.0001 0.0002
LSMF6_2 0.18235 1.00000 0.02986
smr cancer du sein (fem 88-90) 0.0001 0.0 0.4819
LSMF6_3 0.15723 0.02986 1.00000
smr par cancer du sein (fem) 0.0002 0.4819 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMF8_1 LSMF8_2 LSMF8_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMF8_1 557 0.233755 0.678477 421.225875 -1.217490 1.335214 smr suicide (fem 85-87)
LSMF8_2 557 0.211573 0.727964 381.254183 -0.886031 1.294434 smr suicide (fem 88-90)
LSMF8_3 557 0.013860 0.680855 24.976605 -1.256183 1.402881 smr par suicide (fem)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CF8_2
LSMF8_1 LSMF8_2 LSMF8_3
LSMF8_1 1.00000 0.31412 0.27996
smr suicide (fem 85-87) 0.0 0.0001 0.0001
LSMF8_2 0.31412 1.00000 0.37117
smr suicide (fem 88-90) 0.0001 0.0 0.0001
LSMF8_3 0.27996 0.37117 1.00000
smr par suicide (fem) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMF9_1 LSMF9_2 LSMF9_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMF9_1 557 0.238874 0.750074 349.950404 -1.150324 1.328686 smr cirrhose du foie (fem 85-87)
LSMF9_2 557 0.272786 0.735710 399.631052 -1.093362 1.695853 smr cirrhose du foie (fem 88-90)
LSMF9_3 557 0.103474 0.677713 151.589395 -1.387038 1.272016 smr par cirrhose du foie (fem)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CF9_2
LSMF9_1 LSMF9_2 LSMF9_3
LSMF9_1 1.00000 0.53355 0.49532
smr cirrhose du foie (fem 85-87) 0.0 0.0001 0.0001
LSMF9_2 0.53355 1.00000 0.44656
smr cirrhose du foie (fem 88-90) 0.0001 0.0 0.0001
LSMF9_3 0.49532 0.44656 1.00000
smr par cirrhose du foie (fem) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMF16_1 LSMF16_2 LSMF16_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMF16_1 557 -0.024378 1.183781 -81.325830 -2.016336 1.276407 smr BPCO (fem 85-87)
LSMF16_2 557 0.142273 0.957220 474.621455 -1.405192 1.286968 smr par BPCO (fem 88-90)
LSMF16_3 557 0.139320 0.908233 464.770673 -1.327930 1.373518 smr par BPCO (fem)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CF16_2
LSMF16_1 LSMF16_2 LSMF16_3
LSMF16_1 1.00000 0.23578 0.24297
smr BPCO (fem 85-87) 0.0 0.0001 0.0001
LSMF16_2 0.23578 1.00000 0.37614
smr par BPCO (fem 88-90) 0.0001 0.0 0.0001
LSMF16_3 0.24297 0.37614 1.00000
smr par BPCO (fem) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMF17_1 LSMF17_2 LSMF17_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMF17_1 557 -0.001922 1.039426 -7.351339 -1.616540 1.957006 smr pneumonie et/ou influenza (fem 85-8
LSMF17_2 557 0.058797 1.026406 224.898518 -1.747313 1.366584 smr pneumonie / influenza (fem 88-90)
LSMF17_3 557 -0.085847 0.968538 -328.364472 -1.474863 1.079661 smr par pneumonie et/ou influenza (fem)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CF17_2
LSMF17_1 LSMF17_2 LSMF17_3
LSMF17_1 1.00000 0.28954 0.29705
smr pneumonie et/ou influenza (fem 85-8 0.0 0.0001 0.0001
LSMF17_2 0.28954 1.00000 0.25786
smr pneumonie / influenza (fem 88-90) 0.0001 0.0 0.0001
LSMF17_3 0.29705 0.25786 1.00000
smr par pneumonie et/ou influenza (fem) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMF18_1 LSMF18_2 LSMF18_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMF18_1 557 0.153333 1.292438 2380.035727 -1.516991 0.997134 smr affection ischémique (fem 85-87)
LSMF18_2 557 0.015796 1.228247 245.179193 -1.445744 0.784785 smr affection ischémique (fem 88-90)
LSMF18_3 557 -0.059596 1.235920 -925.041452 -1.006916 0.766722 smr par affection ischémique (fem)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CF18_2
LSMF18_1 LSMF18_2 LSMF18_3
LSMF18_1 1.00000 0.33876 0.35359
smr affection ischémique (fem 85-87) 0.0 0.0001 0.0001
LSMF18_2 0.33876 1.00000 0.32164
smr affection ischémique (fem 88-90) 0.0001 0.0 0.0001
LSMF18_3 0.35359 0.32164 1.00000
smr par affection ischémique (fem) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMF19_1 LSMF19_2 LSMF19_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMF19_1 557 0.133630 1.544055 2477.227259 -1.345499 1.133549 smr affection vasculaire-céréb. (fem 85
LSMF19_2 557 0.038765 1.670223 718.629029 -1.447703 1.090988 smr affec. vasculaire-céréb. (fem 88-90
LSMF19_3 557 -0.072818 1.528542 -1349.908275 -1.843485 0.848836 smr par affection vasculaire-céréb. (fem
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CF19_2
LSMF19_1 LSMF19_2 LSMF19_3
LSMF19_1 1.00000 0.46710 0.39014
smr affection vasculaire-céréb. (fem 85 0.0 0.0001 0.0001
LSMF19_2 0.46710 1.00000 0.53066
smr affec. vasculaire-céréb. (fem 88-90 0.0001 0.0 0.0001
LSMF19_3 0.39014 0.53066 1.00000
smr par affection vasculaire-céréb. (fem 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMF46_1 LSMF46_2 LSMF46_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMF46_1 557 0.347664 1.066953 738.090735 -1.343126 1.714138 smr chute (fem 85-87)
LSMF46_2 557 0.271287 0.941478 575.941592 -1.152698 1.665890 smr par chute (fem 88-90)
LSMF46_3 557 0.130906 0.686249 277.912477 -1.201923 1.314955 smr par chute (fem)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CF46_2
LSMF46_1 LSMF46_2 LSMF46_3
LSMF46_1 1.00000 0.55939 0.20807
smr chute (fem 85-87) 0.0 0.0001 0.0001
LSMF46_2 0.55939 1.00000 0.37432
smr par chute (fem 88-90) 0.0001 0.0 0.0001
LSMF46_3 0.20807 0.37432 1.00000
smr par chute (fem) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMH3_1 LSMH3_2 LSMH3_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMH3_1 557 0.004199 1.174035 16.792581 -1.551161 1.608671 smr accident de la route (hom 85-87)
LSMH3_2 557 0.079455 1.295389 317.740896 -1.582207 1.489714 smr par accident de la route (hom 88-90)
LSMH3_3 557 -0.108422 1.239500 -433.580122 -1.772190 1.498317 smr par accident de la route (hom 91-93)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CH3_2
LSMH3_1 LSMH3_2 LSMH3_3
LSMH3_1 1.00000 0.43663 0.43937
smr accident de la route (hom 85-87) 0.0 0.0001 0.0001
LSMH3_2 0.43663 1.00000 0.46616
smr par accident de la route (hom 88-90) 0.0001 0.0 0.0001
LSMH3_3 0.43937 0.46616 1.00000
smr par accident de la route (hom 91-93) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMH4_1 LSMH4_2 LSMH4_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMH4_1 557 0.017593 1.287609 296.976394 -1.583945 0.913824 smr cancer du poumon (hom 85-87)
LSMH4_2 557 0.022869 1.235997 386.033593 -1.509909 0.955773 smr par cancer du poumon (hom 88-90)
LSMH4_3 557 -0.045863 1.312030 -774.163430 -1.495336 0.751852 smr par cancer du poumon (hom)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CH4_2
LSMH4_1 LSMH4_2 LSMH4_3
LSMH4_1 1.00000 0.29339 0.26694
smr cancer du poumon (hom 85-87) 0.0 0.0001 0.0001
LSMH4_2 0.29339 1.00000 0.34261
smr par cancer du poumon (hom 88-90) 0.0001 0.0 0.0001
LSMH4_3 0.26694 0.34261 1.00000
smr par cancer du poumon (hom) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMH7_1 LSMH7_2 LSMH7_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMH7_1 557 -0.067054 0.872156 -319.108810 -1.209758 1.087077 smr cancer de la prostate (hom 85-87)
LSMH7_2 557 0.076632 0.894899 364.691911 -1.316012 1.447560 smr par cancer prostate (hom 88-90)
LSMH7_3 557 0.009126 0.897249 43.430504 -1.380183 1.244094 smr par cancer de la prostate (hom)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CH7_2
LSMH7_1 LSMH7_2 LSMH7_3
LSMH7_1 1.00000 0.11077 0.05373
smr cancer de la prostate (hom 85-87) 0.0 0.0089 0.2055
LSMH7_2 0.11077 1.00000 0.07150
smr par cancer prostate (hom 88-90) 0.0089 0.0 0.0918
LSMH7_3 0.05373 0.07150 1.00000
smr par cancer de la prostate (hom) 0.2055 0.0918 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMH8_1 LSMH8_2 LSMH8_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMH8_1 557 0.146611 1.086273 581.604868 -1.259532 1.691745 smr suicide (hom 85-87)
LSMH8_2 557 0.105644 1.035624 419.089484 -1.540268 1.178057 smr par suicide (hom 88-90)
LSMH8_3 557 0.010128 1.092796 40.178134 -1.356175 1.495879 smr par suicide (hom)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CH8_2
LSMH8_1 LSMH8_2 LSMH8_3
LSMH8_1 1.00000 0.39922 0.30748
smr suicide (hom 85-87) 0.0 0.0001 0.0001
LSMH8_2 0.39922 1.00000 0.31814
smr par suicide (hom 88-90) 0.0001 0.0 0.0001
LSMH8_3 0.30748 0.31814 1.00000
smr par suicide (hom) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMH9_1 LSMH9_2 LSMH9_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMH9_1 557 0.245996 0.904207 531.597437 -1.374973 1.774897 smr cirrhose du foie (hom 85-87)
LSMH9_2 557 0.290487 0.926294 627.743287 -1.443297 1.381902 smr par cirrhose du foie (hom 88-90)
LSMH9_3 557 0.164547 0.869250 355.585756 -1.362160 1.505843 smr par cirrhose du foie (hom)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CH9_2
LSMH9_1 LSMH9_2 LSMH9_3
LSMH9_1 1.00000 0.53844 0.54061
smr cirrhose du foie (hom 85-87) 0.0 0.0001 0.0001
LSMH9_2 0.53844 1.00000 0.53904
smr par cirrhose du foie (hom 88-90) 0.0001 0.0 0.0001
LSMH9_3 0.54061 0.53904 1.00000
smr par cirrhose du foie (hom) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMH16_1 LSMH16_2 LSMH16_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMH16_1 557 -0.107221 2.166967 -947.403368 -2.128290 0.955169 smr BPCO (hom 85-87)
LSMH16_2 557 0.088370 1.560349 780.840605 -1.691239 0.877817 smr par BPCO (hom 88-90)
LSMH16_3 557 0.052879 1.483910 467.240479 -1.821708 1.001212 smr par BPCO (hom)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CH16_2
LSMH16_1 LSMH16_2 LSMH16_3
LSMH16_1 1.00000 0.46485 0.35921
smr BPCO (hom 85-87) 0.0 0.0001 0.0001
LSMH16_2 0.46485 1.00000 0.54708
smr par BPCO (hom 88-90) 0.0001 0.0 0.0001
LSMH16_3 0.35921 0.54708 1.00000
smr par BPCO (hom) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMH17_1 LSMH17_2 LSMH17_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMH17_1 557 -0.063151 1.145800 -267.823261 -1.577368 1.657854 smr pneumonie et/ou influenza (hom 85-87
LSMH17_2 557 0.085025 1.121717 360.590316 -1.529870 1.264396 smr pneumonie / influenza (hom 88-90)
LSMH17_3 557 -0.089937 1.067894 -381.423412 -1.564740 1.151624 smr par pneumonie et/ou influenza (hom)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CH17_2
LSMH17_1 LSMH17_2 LSMH17_3
LSMH17_1 1.00000 0.32138 0.15969
smr pneumonie et/ou influenza (hom 85-87 0.0 0.0001 0.0002
LSMH17_2 0.32138 1.00000 0.40571
smr pneumonie / influenza (hom 88-90) 0.0001 0.0 0.0001
LSMH17_3 0.15969 0.40571 1.00000
smr par pneumonie et/ou influenza (hom) 0.0002 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMH18_1 LSMH18_2 LSMH18_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMH18_1 557 0.150713 1.282602 3025.412825 -1.558744 1.086366 smr affection ischémique (hom 85-87)
LSMH18_2 557 0.002447 1.232290 49.123400 -1.028800 0.755216 smr affection ischémique (hom 88-90)
LSMH18_3 557 -0.099089 1.380268 -1989.108733 -1.551400 0.594114 smr par affection ischémique (hom)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CH18_2
LSMH18_1 LSMH18_2 LSMH18_3
LSMH18_1 1.00000 0.36012 0.28219
smr affection ischémique (hom 85-87) 0.0 0.0001 0.0001
LSMH18_2 0.36012 1.00000 0.29394
smr affection ischémique (hom 88-90) 0.0001 0.0 0.0001
LSMH18_3 0.28219 0.29394 1.00000
smr par affection ischémique (hom) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMH19_1 LSMH19_2 LSMH19_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMH19_1 557 0.102978 1.340279 1226.981979 -1.319307 1.038717 smr affection vasculaire-céréb. (hom 85-
LSMH19_2 557 0.037373 1.306709 445.304292 -1.940441 1.002944 smr aff. vasculaire-céréb. (hom 88-90)
LSMH19_3 557 -0.062362 1.238171 -743.038753 -1.714858 0.905920 smr par affection vasculaire-céréb. (hom
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CH19_2
LSMH19_1 LSMH19_2 LSMH19_3
LSMH19_1 1.00000 0.34019 0.26098
smr affection vasculaire-céréb. (hom 85- 0.0 0.0001 0.0001
LSMH19_2 0.34019 1.00000 0.36454
smr aff. vasculaire-céréb. (hom 88-90) 0.0001 0.0 0.0001
LSMH19_3 0.26098 0.36454 1.00000
smr par affection vasculaire-céréb. (hom 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMH46_1 LSMH46_2 LSMH46_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMH46_1 557 0.131419 0.666001 185.957662 -1.371020 1.690659 smr chute (hom 85-87)
LSMH46_2 557 0.233752 0.656947 330.759304 -1.135149 1.361818 smr par chute (hom 88-90)
LSMH46_3 557 0.132448 0.572970 187.414539 -1.012054 1.397390 smr par chute (hom)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CH46_2
LSMH46_1 LSMH46_2 LSMH46_3
LSMH46_1 1.00000 0.37828 0.20560
smr chute (hom 85-87) 0.0 0.0001 0.0001
LSMH46_2 0.37828 1.00000 0.31231
smr par chute (hom 88-90) 0.0001 0.0 0.0001
LSMH46_3 0.20560 0.31231 1.00000
smr par chute (hom) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMHTO_1 LSMHTO_2 LSMHTO_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMHTO_1 557 0.065547 2.317629 10443 -1.131888 0.434223 smr toutes causes (hom 85-87)
LSMHTO_2 557 0.010562 2.109940 1682.670472 -0.536954 0.370123 smr toutes causes (hom 88-90)
LSMHTO_3 557 -0.035559 2.224817 -5664.983128 -0.591482 0.417432 smr toutes causes (hom 91-93)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CH2TOT
LSMHTO_1 LSMHTO_2 LSMHTO_3
LSMHTO_1 1.00000 0.71852 0.74278
smr toutes causes (hom 85-87) 0.0 0.0001 0.0001
LSMHTO_2 0.71852 1.00000 0.74439
smr toutes causes (hom 88-90) 0.0001 0.0 0.0001
LSMHTO_3 0.74278 0.74439 1.00000
smr toutes causes (hom 91-93) 0.0001 0.0001 0.0
The SAS System 13:02 Friday, October 16, 1998
Correlation Analysis
3 'VAR' Variables: LSMFTO_1 LSMFTO_2 LSMFTO_3
Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum Label
LSMFTO_1 557 0.081519 1.893554 12597 -1.180400 0.520903 smr toutes causes (fem 85-87)
LSMFTO_2 557 0.010851 1.762846 1676.891726 -0.500331 0.500897 smr toutes causes (fem 88-90)
LSMFTO_3 557 -0.038982 1.735771 -6023.960113 -0.470095 0.404471 smr toutes causes (fem 91-93)
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 557 / WEIGHT Var = CF2TOT
LSMFTO_1 LSMFTO_2 LSMFTO_3
LSMFTO_1 1.00000 0.63570 0.61809
smr toutes causes (fem 85-87) 0.0 0.0001 0.0001
LSMFTO_2 0.63570 1.00000 0.66515
smr toutes causes (fem 88-90) 0.0001 0.0 0.0001
LSMFTO_3 0.61809 0.66515 1.00000
smr toutes causes (fem 91-93) 0.0001 0.0001 0.0
- Analyse factorielle des facteurs socio-économiques.
Initial Factor Method: Principal Components
Prior Communality Estimates: ONE
Eigenvalues of the Correlation Matrix: Total = 13 Average = 1
1 2 3 4 5 6 7
Eigenvalue 4.9538 2.7365 1.5523 0.8556 0.7714 0.6369 0.3071
Difference 2.2173 1.1842 0.6967 0.0842 0.1345 0.3298 0.0121
Proportion 0.3811 0.2105 0.1194 0.0658 0.0593 0.0490 0.0236
Cumulative 0.3811 0.5916 0.7110 0.7768 0.8361 0.8851 0.9087
8 9 10 11 12 13
Eigenvalue 0.2950 0.2565 0.2116 0.1955 0.1463 0.0815
Difference 0.0385 0.0449 0.0161 0.0492 0.0648
Proportion 0.0227 0.0197 0.0163 0.0150 0.0113 0.0063
Cumulative 0.9314 0.9512 0.9674 0.9825 0.9937 1.0000
3 factors will be retained by the NFACTOR criterion.
Factor Pattern
FACTOR1 FACTOR2 FACTOR3
RCHOMAGE 0.90841 0.11198 -0.03472 Residual
RRMM8689 -0.80975 0.01102 0.07332 Residual
RISO65 0.73321 0.52907 0.03786 Residual
RMONO16 0.46251 0.65173 0.04089 Residual
RENSPROF 0.86180 -0.22918 0.05842 Residual
ROUVRIER 0.55444 -0.70628 0.05857 Residual
REXIGUIT -0.15860 0.44430 0.76562 Residual
RWCPRIV -0.37278 0.08566 0.78129 Residual
RVOITURE 0.80312 0.39955 0.24768 Residual
RGINI868 -0.37820 0.69525 -0.27081 Residual
RTURCEMA 0.68121 0.13496 -0.17676 Residual
RENSPRIM -0.02729 -0.58582 0.14339 Residual
RCHAUIND 0.50432 -0.50864 0.39079 Residual
Variance explained by each factor
FACTOR1 FACTOR2 FACTOR3
4.953798 2.736545 1.552326
Final Communality Estimates: Total = 9.242669
RCHOMAGE RRMM8689 RISO65 RMONO16 RENSPROF ROUVRIER REXIGUIT RWCPRIV RVOITURE RGINI868 RTURCEMA RENSPRIM RCHAUIND
0.838954 0.661191 0.818941 0.640345 0.798636 0.809667 0.808735 0.756722 0.865981 0.699741 0.513503 0.364493 0.665760
The SAS System 12:26 Monday, October 26, 1998
Rotation Method: Varimax
Orthogonal Transformation Matrix
1 2 3
1 0.88951 0.40462 -0.21224
2 0.45272 -0.84324 0.28981
3 0.06171 0.35387 0.93326
Rotated Factor Pattern
FACTOR1 FACTOR2 FACTOR3
CHOMAGE 0.87436 0.21244 -0.18552 Taux de chômage
REVENU -0.72425 -0.21522 0.28067 Revenu Médian
RISO65 0.88351 -0.18988 0.03088 % d'isolés chez les 65+
MONO16 0.68988 -0.34011 0.16687 % de familles monoparentales
ENSPROF 0.70615 0.51541 -0.19105 % élèves dans l'ens. Prof.
OUVRIER 0.24147 0.84988 -0.24073 % ouvriers
EXIGUIT 0.09473 -0.23887 0.83608 m2 par habitant
WCPRIV -0.22846 0.08915 0.85998 % ménages ss wc dans le logement & avec chasse d'eau
VOITURE 0.91728 0.01797 0.17882 % ménages sans voiture
GINI -0.10594 -0.86028 -0.00717 coefficient de gini
TURCEMA 0.65699 0.03577 -0.28700 % turques ou marocains
ENSPRIM -0.23184 0.60725 0.01946 % adultes avec diplômes max primaire
CHAUIND 0.24244 0.77125 0.11026 % ménages sans chauffage central.
Variance explained by each factor
FACTOR1 FACTOR2 FACTOR3
4.486407 2.951256 1.805005
Final Communality Estimates: Total = 9.242669
RCHOMAGE RRMM8689 RISO65 RMONO16 RENSPROF ROUVRIER REXIGUIT RWCPRIV RVOITURE RGINI868 RTURCEMA RENSPRIM RCHAUIND
0.838954 0.661191 0.818941 0.640345 0.798636 0.809667 0.808735 0.756722 0.865981 0.699741 0.513503 0.364493 0.665760
Scoring Coefficients Estimated by Regression
Squared Multiple Correlations of the Variables with each Factor
FACTOR1 FACTOR2 FACTOR3
1.000000 1.000000 1.000000
Standardized Scoring Coefficients
FACTOR1 FACTOR2 FACTOR3
RCHOMAGE 0.18026 0.03178 -0.04793 Residual
RRMM8689 -0.14066 -0.05282 0.07994 Residual
RISO65 0.22069 -0.09451 0.04738 Residual
RMONO16 0.19249 -0.15372 0.07379 Residual
RENSPROF 0.11915 0.15433 -0.02607 Residual
ROUVRIER -0.01496 0.27627 -0.06334 Residual
REXIGUIT 0.07546 0.02467 0.51414 Residual
RWCPRIV -0.02171 0.12126 0.49476 Residual
RVOITURE 0.22015 -0.00106 0.15681 Residual
RGINI868 0.03634 -0.30686 -0.07298 Residual
RTURCEMA 0.13762 -0.02624 -0.12116 Residual
RENSPRIM -0.09612 0.21097 0.02533 Residual
RCHAUIND 0.02194 0.28701 0.15947 Residual
- Analyse Lisrel du modèle .
The SAS System 19:04 Thursday, October 22, 1998
Covariance Structure Analysis: Maximum Likelihood Estimation
Fit criterion . . . . . . . . . . . . . . . . . . 0.4040
Goodness of Fit Index (GFI) . . . . . . . . . . . 0.9264
GFI Adjusted for Degrees of Freedom (AGFI). . . . 0.6627
Root Mean Square Residual (RMR) . . . . . . . . . 0.0860
Parsimonious GFI (Mulaik, 1989) . . . . . . . . . 0.2470
Chi-square = 221.7866 df = 12 Prob>chi**2 = 0.0001
Null Model Chi-square: df = 45 1170.1895
RMSEA Estimate . . . . . . 0.1784 90%C.I.[0.1583, 0.1994]
Probability of Close Fit . . . . . . . . . . . . 0.0000
ECVI Estimate . . . . . . . 0.5081 90%C.I.[0.4539, 0.6319]
Bentler's Comparative Fit Index . . . . . . . . . 0.8136
Normal Theory Reweighted LS Chi-square . . . . . 218.0802
Akaike's Information Criterion. . . . . . . . . . 197.7866
Bozdogan's (1987) CAIC. . . . . . . . . . . . . . 134.0676
Schwarz's Bayesian Criterion. . . . . . . . . . . 146.0676
McDonald's (1989) Centrality. . . . . . . . . . . 0.8264
Bentler & Bonett's (1980) Non-normed Index. . . . 0.3008
Bentler & Bonett's (1980) NFI . . . . . . . . . . 0.8105
James, Mulaik, & Brett (1982) Parsimonious NFI. . 0.2161
Z-Test of Wilson & Hilferty (1931). . . . . . . . 12.2165
Bollen (1986) Normed Index Rho1 . . . . . . . . . 0.2893
Bollen (1988) Non-normed Index Delta2 . . . . . . 0.8189
Hoelter's (1983) Critical N . . . . . . . . . . . 54
The SAS System 19:04 Thursday, October 22, 1998
Covariance Structure Analysis: Maximum Likelihood Estimation
Manifest Variable Equations
RPSU8590= 0.2017*PC1 - 0.2034*PC2 + 0.0467*PC3 + 0.1419*REGIONW
Std Err 0.0311 BETA1 0.0273 BETA2 0.0279 BETA3 0.0313 BETA4
t Value 6.4754 -7.4616 1.6736 4.5335
+ 0.0155*REGIONB + 1.0000 EPSU
Std Err 0.0454 BETA5
t Value 0.3425
RSARHF = 0.0114*RPSU8590 - 0.0501*RDENGENE + 0.3238*RDENSPE + 0.2286*RLP3S65T
Std Err 0.0344 ALHA7 0.0381 ALPHA6 0.0419 ALPHA5 0.0533 ALPHA1
t Value 0.3325 -1.3152 7.7238 4.2868
+ 0.0793*PC1 + 0.0261*PC2 - 0.2350*PC3 + 1.0000 ESAR
Std Err 0.0545 ALPHA2 0.0385 ALPHA3 0.0364 ALPHA4
t Value 1.4556 0.6785 -6.4557
RDENGENE= 0.0832*RLP3S65T + 0.1951*PC1 - 0.2110*PC2 - 0.0350*PC3
Std Err 0.0593 DELTA4 0.0591 DELTA1 0.0403 DELTA2 0.0407 DELTA3
t Value 1.4025 3.3005 -5.2371 -0.8584
+ 1.0000 EDGENE
RDENSPE = 0.1419*RLP3S65T + 0.2017*PC1 - 0.2034*PC2 + 0.0467*PC3
Std Err 0.0313 BETA4 0.0311 BETA1 0.0273 BETA2 0.0279 BETA3
t Value 4.5335 6.4754 -7.4616 1.6736
+ 0.2850*REGIONB + 1.0000 EDEN
Std Err 0.0351 BETA6
t Value 8.1194
RLP3S65T= 0.0268*RPSU8590 + 0.7258*PC1 + 0.0471*PC2 - 0.1130*PC3
Std Err 0.0278 GAMA6 0.0295 GAMA1 0.0294 GAMA2 0.0294 GAMA3
t Value 0.9663 24.5953 1.6043 -3.8396
+ 0.0649*REGIONW - 0.0160*REGIONB + 1.0000 ES65H
Std Err 0.0298 GAMA4 0.0302 GAMA5
t Value 2.1796 -0.5317
Variances of Exogenous Variables
---------------------------------------------------------------------
Standard
Variable Parameter Estimate Error t Value
---------------------------------------------------------------------
PC1 1.000000 0 0.000
PC2 1.000000 0 0.000
PC3 1.000000 0 0.000
REGIONW 1.000000 0 0.000
REGIONB 1.000000 0 0.000
ESAR VESAR 0.705235 0.042566 16.568
EDEN VEDE 0.653916 0.039468 16.568
EDGENE VEGENE 0.886879 0.053530 16.568
ES65H VES65H 0.452792 0.027329 16.568
EPSU VEPSU 1.069017 0.064523 16.568
Covariances among Exogenous Variables
------------------------------------------------------------------------------
Standard
Parameter Estimate Error t Value
------------------------------------------------------------------------------
PC2 PC1 -0.002895 0 0.000
PC3 PC1 0.018108 0 0.000
PC3 PC2 0.005650 0 0.000
REGIONW PC1 0.018334 0 0.000
REGIONW PC2 0.079263 0 0.000
REGIONW PC3 -0.047093 0 0.000
REGIONB PC1 0.117380 0 0.000
REGIONB PC2 -0.038012 0 0.000
REGIONB PC3 -0.190407 0 0.000
REGIONB REGIONW -0.194805 0 0.000
The SAS System 19:04 Thursday, October 22, 1998
Covariance Structure Analysis: Maximum Likelihood Estimation
Equations with Standardized Coefficients
RPSU8590= 0.1864*PC1 - 0.1881*PC2 + 0.0432*PC3 + 0.1312*REGIONW
BETA1 BETA2 BETA3 BETA4
+ 0.0144*REGIONB + 0.9560 EPSU
BETA5
RSARHF = 0.0123*RPSU8590 - 0.0500*RDENGENE + 0.3061*RDENSPE + 0.2287*RLP3S65T
ALHA7 ALPHA6 ALPHA5 ALPHA1
+ 0.0791*PC1 + 0.0261*PC2 - 0.2345*PC3 + 0.8381 ESAR
ALPHA2 ALPHA3 ALPHA4
RDENGENE= 0.0834*RLP3S65T + 0.1951*PC1 - 0.2110*PC2 - 0.0350*PC3
DELTA4 DELTA1 DELTA2 DELTA3
+ 0.9416 EDGENE
RDENSPE = 0.1502*RLP3S65T + 0.2129*PC1 - 0.2148*PC2 + 0.0493*PC3
BETA4 BETA1 BETA2 BETA3
+ 0.3009*REGIONB + 0.8539 EDEN
BETA6
RLP3S65T= 0.0290*RPSU8590 + 0.7242*PC1 + 0.0470*PC2 - 0.1127*PC3
GAMA6 GAMA1 GAMA2 GAMA3
+ 0.0647*REGIONW - 0.0160*REGIONB + 0.6714 ES65H
GAMA4 GAMA5
Squared Multiple Correlations
----------------------------------------------------------------
Error Total
Variable Variance Variance R-squared
----------------------------------------------------------------
1 RPSU8590 1.069017 1.169787 0.086144
2 RSARHF 0.705235 1.004126 0.297663
3 RDENGENE 0.886879 1.000389 0.113465
4 RDENSPE 0.653916 0.896868 0.270890
5 RLP3S65T 0.452792 1.004403 0.549193
Correlations among Exogenous Variables
----------------------------------------------
Parameter Estimate
----------------------------------------------
PC2 PC1 -0.002895
PC3 PC1 0.018108
PC3 PC2 0.005650
REGIONW PC1 0.018334
REGIONW PC2 0.079263
REGIONW PC3 -0.047093
REGIONB PC1 0.117380
REGIONB PC2 -0.038012
REGIONB PC3 -0.190407
REGIONB REGIONW -0.194805
- Corrélation inter-période de la surcharge pondérale
The SAS System 16:12 Wednesday, September 2, 1998
Correlation Analysis
Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / Number of Observations / WEIGHT Var = NBR8290
PSU7981 PSU8284 PSU8587 PSU8890
PSU7981 1.00000 0.60516 0.61195 0.57315
Prévalence de surpondéré 1979-1981 0.0 0.0001 0.0001 0.0001
569 569 569 564
PSU8284 0.60516 1.00000 0.66184 0.55961
Prévalence de surpondéré 1982-1984 0.0001 0.0 0.0001 0.0001
569 570 570 565
PSU8587 0.61195 0.66184 1.00000 0.64039
Prévalence de surpondéré 1985-1987 0.0001 0.0001 0.0 0.0001
569 570 570 565
PSU8890 0.57315 0.55961 0.64039 1.00000
Prévalence de surpondéré 1988-1990 0.0001 0.0001 0.0001 0.0
564 565 565 565