Courbe ROC pour NAFLD


Variable nafld6

The LOGISTIC Procedure

 

Informations sur le modèle
Data Set WORK.COMP2ROC  
Response Variable fcs fcs
Number of Response Levels 2  
Model binary logit  
Optimization Technique Fisher's scoring  

Number of Observations Read 221
Number of Observations Used 221

Profil de réponse
Valeur
ordonnée		 fcs Fréquence
totale
1 0 159
2 1 62

 

Probability modeled is fcs=1.

 


État de convergence du modèle
Convergence criterion (GCONV=1E-8) satisfied.

Statistiques d'ajustement du modèle
Critère Coordonnée à l'origine
uniquement		 Coordonnée à l'origine
et
covariables
AIC 264.312 158.705
SC 267.710 165.501
-2 Log L 262.312 154.705

Test de l'hypothèse nulle globale : BETA=0
Test Khi 2 DF Pr > Khi 2
Likelihood Ratio 107.6069 1 <.0001
Score 94.9221 1 <.0001
Wald 55.0675 1 <.0001

Analyse des estimations de la vraisemblance maximum
Paramètre DF Estimation Erreur
std		 Khi 2
de Wald		 Pr > Khi 2
Intercept 1 1.2599 0.3355 14.1032 0.0002
nafld6 1 1.2411 0.1673 55.0675 <.0001

Estimations des rapports de cotes
Effet Point Estimate 95% Limites de confiance
de Wald
nafld6 3.460 2.493 4.802

Association des probabilités prédites et des
réponses observées
Percent Concordant 88.9 Somers' D 0.780
Percent Discordant 10.9 Gamma 0.782
Percent Tied 0.2 Tau-a 0.316
Pairs 9858 c 0.890


 

Plot of _SENSIT_ * _1MSPEC_

 


Courbe ROC pour SNIFF7


Variable sniffsa7b

The LOGISTIC Procedure

 

Informations sur le modèle
Data Set WORK.COMP2ROC  
Response Variable fcs fcs
Number of Response Levels 2  
Model binary logit  
Optimization Technique Fisher's scoring  

Number of Observations Read 221
Number of Observations Used 221

Profil de réponse
Valeur
ordonnée		 fcs Fréquence
totale
1 0 159
2 1 62

 

Probability modeled is fcs=1.

 


État de convergence du modèle
Convergence criterion (GCONV=1E-8) satisfied.

Statistiques d'ajustement du modèle
Critère Coordonnée à l'origine
uniquement		 Coordonnée à l'origine
et
covariables
AIC 264.312 126.629
SC 267.710 133.425
-2 Log L 262.312 122.629

Test de l'hypothèse nulle globale : BETA=0
Test Khi 2 DF Pr > Khi 2
Likelihood Ratio 139.6831 1 <.0001
Score 116.2612 1 <.0001
Wald 51.9698 1 <.0001

Analyse des estimations de la vraisemblance maximum
Paramètre DF Estimation Erreur
std		 Khi 2
de Wald		 Pr > Khi 2
Intercept 1 -5.5262 0.8045 47.1795 <.0001
sniffsa7b 1 7.1726 0.9949 51.9698 <.0001

Estimations des rapports de cotes
Effet Point Estimate 95% Limites de confiance
de Wald
sniffsa7b >999.999 185.404 >999.999

Association des probabilités prédites et des
réponses observées
Percent Concordant 94.8 Somers' D 0.898
Percent Discordant 5.0 Gamma 0.900
Percent Tied 0.3 Tau-a 0.364
Pairs 9858 c 0.949


 

Plot of _SENSIT_ * _1MSPEC_

 


Comparaison des courbes ROC


The ROC Macro
 

Pairwise Deletion Mann-Whitney Statistics
  nafld6 sniffsa7b
nafld6 0.8897342 0.8897342
sniffsa7b 0.9499899 0.9499899

ROC Curve Areas and 95% Confidence Intervals
  ROC Area Std Error Confidence Limits
nafld6 0.8897 0.0286 0.8337 0.9457
sniffsa7b 0.9500 0.0156 0.9194 0.9805

Estimated Variance Matrix
  nafld6 sniffsa7b
nafld6 0.0008161 0.0003037
sniffsa7b 0.0003037 0.000243

Estimated Correlations
  nafld6
nafld6 2214.3587

X populations sample sizes
  nafld6 sniffsa7b
nafld6 62 0
sniffsa7b 62 62

Y populations sample sizes
  nafld6 sniffsa7b
nafld6 159 0
sniffsa7b 159 159

Variance Estimates
of Contrast
  Row1
Row1 0.0004516

Contrast Coefficients
  nafld6 sniffsa7b
Row1 1 -1

Tests and 95% Confidence Intervals for Contrast Rows
  Estimate Std Error Confidence Limits Chi-square Pr > ChiSq
Row1 -0.0603 0.0213 -0.1019 -0.0186 8.0398 0.0046

Contrast Test Results
Chi-Square DF Pr > ChiSq
8.0398 1 0.0046


 

Plot of _SENSIT_ * _1MSPEC_ = index

 


DONNEES

rocnafld
(les 10 premières lignes)

Obs num nafld fcs
1 1 -2.97021 0
2 5 -1.27443 0
3 6 -1.50929 0
4 7 0.31075 1
5 10 0.03212 0
6 13 -1.60321 0
7 18 -2.91031 0
8 26 0.71663 1
9 27 0.12337 1
10 40 -1.81962 1


rocnafld
(les 10 dernières lignes)

Obs num nafld fcs
212 472 -4.07874 1
213 473 1.15670 1
214 474 -1.19514 1
215 475 -0.21159 1
216 476 -0.20521 0
217 477 -2.44285 0
218 478 -1.39479 1
219 479 0.71059 1
220 480 -3.70686 1
221 481 -2.26706 0


numfcs
(les 10 premières lignes)

Obs num fcs
1 1 0
2 2 0
3 5 0
4 6 0
5 7 1
6 10 0
7 13 0
8 14 0
9 18 0
10 26 1


numfcs
(les 10 dernières lignes)

Obs num fcs
226 472 1
227 473 1
228 474 1
229 475 1
230 476 0
231 477 0
232 478 1
233 479 1
234 480 1
235 481 0


sniff
(les 10 premières lignes)

Obs num SCORE
1 1 0.17054
2 2 0.78048
3 5 0.76593
4 6 0.88999
5 7 0.97841
6 10 0.98135
7 13 0.50898
8 14 0.99972
9 18 0.46591
10 26 0.97186


sniff
(les 10 dernières lignes)

Obs num SCORE
226 472 0.85396
227 473 0.99478
228 474 0.78702
229 475 0.99101
230 476 0.76838
231 477 0.68241
232 478 0.84048
233 479 0.99478
234 480 0.96717
235 481 0.10165


sniffcs
(les 10 premières lignes)

Obs num fcs SCORE
1 1 0 0.17054
2 2 0 0.78048
3 5 0 0.76593
4 6 0 0.88999
5 7 1 0.97841
6 10 0 0.98135
7 13 0 0.50898
8 14 0 0.99972
9 18 0 0.46591
10 26 1 0.97186


sniffcs
(les 10 dernières lignes)

Obs num fcs SCORE
226 472 1 0.85396
227 473 1 0.99478
228 474 1 0.78702
229 475 1 0.99101
230 476 0 0.76838
231 477 0 0.68241
232 478 1 0.84048
233 479 1 0.99478
234 480 1 0.96717
235 481 0 0.10165


Comparaisons

Obs num nafld6 fcs sniffsa7b
1 1 -2.97021 0 0.17054
2 5 -1.27443 0 0.76593
3 6 -1.50929 0 0.88999
4 7 0.31075 1 0.97841
5 10 0.03212 0 0.98135
6 13 -1.60321 0 0.50898
7 18 -2.91031 0 0.46591
8 26 0.71663 1 0.97186
9 27 0.12337 1 0.99763
10 40 -1.81962 1 0.57660
11 43 -0.82381 1 0.93259
12 52 -0.50242 1 0.98693
13 57 -1.87778 1 0.99996
14 58 -0.51704 0 0.69347
15 59 -4.43355 0 0.10097
16 64 -0.05277 1 0.99949
17 72 -3.55246 0 0.28233
18 75 -3.82749 0 0.02945
19 78 -1.32170 1 0.99975
20 80 1.85314 1 0.99706
21 81 2.12094 1 0.99977
22 83 -3.10502 0 0.18724
23 89 2.35973 1 1.00000
24 93 0.06266 1 0.97836
25 94 0.43173 1 0.97372
26 97 -3.28540 0 0.14298
27 98 -3.04276 0 0.31492
28 99 1.04459 1 0.99471
29 101 -3.22925 0 0.17231
30 102 -1.84205 0 0.87762
31 105 -3.22733 0 0.09778
32 106 -2.23720 1 0.97676
33 107 -5.04922 0 0.01979
34 110 0.05223 0 0.90343
35 113 -4.05030 0 0.02469
36 114 -1.29598 1 0.63279
37 115 1.11976 1 0.96137
38 117 1.20465 1 0.92560
39 118 0.58315 1 0.99750
40 119 2.03743 1 0.99989
41 120 -0.60465 1 0.99283
42 121 -4.93396 0 0.02062
43 124 -1.21570 1 0.94896
44 125 0.72410 1 1.00000
45 126 0.30490 1 0.98899
46 130 2.43019 1 0.99439
47 131 -3.25637 0 0.05242
48 132 -3.16794 0 0.05829
49 133 0.38793 1 0.99891
50 134 -3.18579 0 0.02533
51 135 -2.75119 0 0.38780
52 136 -3.58417 0 0.04309
53 137 -3.95768 0 0.03480
54 138 -2.70074 0 0.14743
55 140 -2.42533 0 0.24068
56 141 -4.02929 0 0.02764
57 142 -5.38249 0 0.02257
58 143 -3.38663 0 0.10323
59 144 -2.37766 0 0.61611
60 145 -4.41703 1 0.12742
61 146 -2.84271 0 0.12584
62 147 -4.11511 0 0.00477
63 148 -4.38752 0 0.03923
64 149 -2.34161 0 0.62899
65 150 -3.02568 0 0.02448
66 151 -3.90639 0 0.13217
67 152 -4.05856 0 0.07059
68 153 -3.72820 0 0.02218
69 154 -3.48104 0 0.08966
70 155 -2.60599 0 0.69328
71 156 0.76787 1 0.93085
72 157 -2.36813 0 0.37290
73 158 -1.54107 1 0.99423
74 159 -2.32444 0 0.75251
75 160 -0.56908 0 0.10623
76 161 -4.60949 0 0.05165
77 162 -3.01764 0 0.07968
78 163 -4.07556 0 0.05726
79 164 -2.85571 0 0.15052
80 165 -3.42003 0 0.17187
81 166 -3.17254 0 0.09850
82 167 -3.43566 0 0.23531
83 168 -2.50063 0 0.26429
84 169 -2.79246 0 0.13149
85 170 -1.12707 0 0.87420
86 171 -1.35109 0 0.86271
87 172 -0.66208 0 0.81793
88 173 -4.02439 0 0.06351
89 174 -3.92755 0 0.05816
90 175 -3.23857 0 0.07326
91 176 -1.95354 0 0.50594
92 177 -3.65010 0 0.05588
93 178 -2.45091 0 0.42489
94 179 -1.00877 1 0.72799
95 180 -0.80642 0 0.88639
96 181 -1.77479 0 0.77438
97 182 0.61604 1 0.99800
98 183 0.66540 0 0.96782
99 184 -1.46876 0 0.68903
100 185 -1.72850 0 0.63192
101 186 -1.78448 1 0.93778
102 187 -1.25111 0 0.74601
103 188 -2.11408 1 0.76529
104 189 -4.39819 0 0.04910
105 190 -3.20668 0 0.09532
106 191 -3.26033 0 0.22361
107 192 -4.97209 0 0.02352
108 193 -1.99938 0 0.64394
109 194 -5.40339 0 0.00684
110 195 -1.89890 0 0.13980
111 196 -2.80686 0 0.46089
112 197 -3.38803 0 0.09369
113 198 -1.04000 1 0.95541
114 199 -3.70099 0 0.07585
115 200 -2.67146 0 0.46316
116 201 -0.42957 1 0.65136
117 202 0.08897 1 0.99394
118 203 -1.25991 1 0.78134
119 204 -2.83281 0 0.35277
120 205 -2.59016 0 0.94101
121 206 -2.14826 1 0.97893
122 207 -5.08105 0 0.01571
123 208 -4.38989 0 0.01600
124 209 -3.15998 0 0.28923
125 210 -3.28241 0 0.15129
126 212 -4.91628 0 0.02028
127 213 -0.92091 0 0.65993
128 214 -2.35111 0 0.09951
129 215 -3.26176 0 0.16037
130 216 -3.65590 0 0.13228
131 217 -1.23061 0 0.31644
132 218 -2.42661 0 0.31699
133 219 -2.31468 0 0.46771
134 220 -1.68605 0 0.70498
135 221 -3.07516 0 0.03274
136 222 -2.69223 0 0.16873
137 223 -2.39175 0 0.09079
138 224 -3.28064 0 0.12647
139 225 -2.19955 0 0.34137
140 226 -4.81567 0 0.13601
141 227 -3.45310 0 0.05206
142 228 -1.52378 0 0.55514
143 229 -3.52758 0 0.11012
144 231 -2.13109 0 0.39805
145 232 -2.84358 0 0.12506
146 233 -1.12965 1 0.90429
147 234 -4.17210 0 0.07855
148 235 -3.65347 1 0.30585
149 236 -3.18931 0 0.04827
150 237 -2.93645 0 0.07034
151 238 -0.99082 0 0.66765
152 239 -3.11301 0 0.21220
153 240 -2.15777 0 0.58946
154 242 -2.28354 0 0.35805
155 243 -2.64236 1 0.15544
156 244 -3.01988 0 0.47845
157 245 -2.68690 0 0.22368
158 246 -2.53706 0 0.12593
159 247 -3.07254 0 0.09344
160 248 -0.37370 1 0.98872
161 249 -0.24698 0 0.92725
162 250 -2.27253 0 0.54598
163 251 -2.15990 0 0.54676
164 252 -0.25157 1 0.99747
165 253 -4.11896 0 0.03788
166 254 -2.27262 0 0.17047
167 256 -1.47477 0 0.55939
168 257 1.05241 1 0.99691
169 258 -1.61799 1 0.70514
170 259 -1.60018 0 0.66837
171 260 0.42240 1 0.99972
172 261 -2.69064 0 0.20970
173 262 -2.60116 0 0.44455
174 263 0.91700 1 0.99951
175 264 -3.06532 0 0.30781
176 265 -3.83270 0 0.01956
177 266 -3.86763 0 0.02333
178 267 -2.56324 0 0.50549
179 268 -2.84995 0 0.24387
180 269 -2.90389 0 0.08393
181 270 -4.70662 0 0.01182
182 271 -2.33863 0 0.52336
183 272 -3.31551 0 0.02876
184 273 -3.62846 0 0.03600
185 274 -2.66003 0 0.37352
186 275 -3.17014 0 0.16701
187 276 -1.48539 0 0.33914
188 277 -3.62915 0 0.08055
189 278 -3.57163 0 0.04613
190 279 -4.90255 0 0.00316
191 280 -3.87307 0 0.02618
192 281 -4.06050 0 0.00684
193 282 -2.60424 0 0.24487
194 283 -3.69913 0 0.03973
195 284 -4.13766 0 0.01631
196 285 -3.00730 0 0.02401
197 286 -3.20465 0 0.06856
198 287 -4.40082 0 0.08638
199 288 -4.16658 0 0.02297
200 289 -3.46170 0 0.09528
201 291 -3.15756 0 0.22130
202 292 -3.52053 0 0.14889
203 293 -3.18627 0 0.21984
204 458 -1.66591 0 0.88095
205 459 0.19566 1 0.99399
206 460 1.27458 1 0.99858
207 461 -2.86123 1 0.36727
208 462 0.98900 1 0.99007
209 463 -0.96840 1 0.96657
210 466 -1.40617 1 0.80491
211 468 -0.27703 1 0.98865
212 472 -4.07874 1 0.85396
213 473 1.15670 1 0.99478
214 474 -1.19514 1 0.78702
215 475 -0.21159 1 0.99101
216 476 -0.20521 0 0.76838
217 477 -2.44285 0 0.68241
218 478 -1.39479 1 0.84048
219 479 0.71059 1 0.99478
220 480 -3.70686 1 0.96717
221 481 -2.26706 0 0.10165