stata回归分析及roc分析实例(Stata regression analysis and ROC analysis example)stata回归分析及roc分析实例(Stata regression analysis and ROC analysis example)
stata回归分析及roc分析实例(Stata regression analysis and ROC
analysis example)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ (r)
/ _ _ / _ _ _ _ / / _ _ _ _ /
_ _ _ / / / / / / _ _ _ _ _ _ / 12.0 copyri...
stata回归分析及roc分析实例(Stata regression analysis and ROC analysis example)
stata回归分析及roc分析实例(Stata regression analysis and ROC
analysis example)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ (r)
/ _ _ / _ _ _ _ / / _ _ _ _ /
_ _ _ / / / / / / _ _ _ _ _ _ / 12.0 copyright 1985 - 2011 statacorp
lp
statistics / data analysis statacorp
4905 lakeway drive
special edition, college station, texas 77845 usa
800 was pc http: / / www.stata.com
979 - 696 - 4600 stata @ stata.com
979 - 696 - 4601 (fax)
notes:
1. (v # option or set maxvar) 5000 maximum variable
. use "c: \ program files \ stata12 \ 2 _ data \ 002 - 胰腺
炎.dta", clear
. list
ik + +
| ldh cr |) mods
| | nu
1. | 299.3 47.1 34.4 1 |
2. | 2036 395.1 25.9 1 |
3. | 881 89.4 39.1 1 |
4. | 2250 360.2 26.2 1 |
5. | 300 775 22.4 1 |
| | nu
6. | 410 177 21.1 1 |
7. | 2047.4 276 27.1 1 |
8. | 633 235.4 24.7 1 |
9. | 225 71 30.2 1 |
10. | 1149 37 21 1 |
| | nu
11. | 881 310 34 1 |
12. | 500 318 28 1 |
13. | 1248 180 29 1 |
14. | 345 210 32.7 1 |
15. | 633 235 24.7 1 |
| | nu
16. | 460.5 157 26 1 |
17. | 359 159 35.4 1 |
18. | 305 138 17.9 1 |
19. | 1487 306 27 1 |
20. | 1211 205 27.2 1 |
| | nu
21. | 407 60 33.4 1 |
22. | 1100 38 for 1 |
23. | 506 92.7 40.9 1 |
24. | 320 107 26.4 1 |
25. | 823 63 1 | 18.8
| | nu
26. | 1402.3 318 28.
2 1 |
27。| 2272 383 21.6 1 |
28。| 489.7 71 36.2 1 |
29。| 245 123 36.2 0 |
30。| 230 21 24.3 0 |
| ------------------------------ |
31。| 264 51 30.9 0 |
32。| 293 38 28.8 0 |
33。| 168 52 28.7 0 |
34。| 168 45 33.2 0 |
35。| 224 56 28.2 0 |
| ------------------------------ |
36。| 175 78 45 0 |
37。| 290 87 32 0 |
38。| 117 66 38.8 0 |
39。| 147 58 39.7 0 |
40。| 203 51 46.9 0 |
| ------------------------------ |
41。| 189 84 41.6 0 |
42。| 658 205 34.4 0 |
43。| 210 46 41.3 0 |
44。| 555 52 31.8 0 |
45。| 264 58 41.8 0 |
| ------------------------------ |
46。| 214 79 41 0 |
47。| 181 70 36.5 0 |
48。| 454 80 33.2 0 |
49。| 319 67 38.3 0 |
50。| 1033 88 32.2 0 |
| ------------------------------ |
51。| 320 64 31.6 0 |
52。| 171 73 37.2 0 |
53。| 449 59 37.7 0 |
54。| 278 55 35.2 0 |
55。| 2.9 54 37.9 0 |
| ------------------------------ |
56。| 354 30 37.9 0 |
57。| 138 78 34.8 0 |
58。| 225 53 36.1 0 |
59。| 323 95 33.1 0 |
60。| 146 87 36.5 0 |
| ------------------------------ |
61。| 205 66 33.1 0 |
62。| 174 94 41 0 |
63。| 170 72 35.2 0 |
64。| 270 58 33.9 0 |
65。| 160 63 35.2 0 |
| ------------------------------ |
66。| 194 57 32.7 0 |
67。| 158 94 34.5 0 |
68。| 217 50 36.6 0 |
69。| 310 76 27。
7 0 |
70。| 29 40 29 0 |
| ------------------------------ |
71。| 186 71 31 0 |
72。| 144 61 34.8 0 |
73。| 145 90 47.6 0 |
74。| 227 61 37.3 0 |
75。| 279 63 45.3 0 |
| ------------------------------ |
76。| 148 64 35.6 0 |
77。| 269 76 40.8 0 |
78。| 654 74 36 0 |
79。| 236 74 44 0 |
80。| 203 60 37.7 0 |
| ------------------------------ |
81。| 1194 204 38.1 0 |
82。| 982 50 30.4 0 |
83。| 485 83 41.8 0 |
84。| 258 212 31 0 |
85。| 290.3 80 39.7 0 |
| ------------------------------ |
86。| 265 73 51.2 0 |
87。| 337 48 35.5 0 |
88。| 218 74 43.8 0 |
89。| 498 101 39.1 0 |
90。| 187 74 28.5 0 |
| ------------------------------ |
91。| 186 69 42.3 0 |
92。| 242 90 37.9 0 |
93。| 282 54 41.7 0 |
94。| 144 49 30 0 |
95。| 124 48 42 0 |
| ------------------------------ |
96。| 202 70 37.7 0 |
97。| 303 70 33 0 |
98。| 234 61 30.5 0 |
99。| 271 71 40.9 0 |
100。| 157 87 47.7 0 |
| ------------------------------ |
101。| 209 74 31 0 |
102。| 168 94 27.6 0 |
103。| 193 45 30.8 0 |
104。| 219 80 35.9 0 |
105。| 131 79 43.5 0 |
| ------------------------------ |
106。| 179 61 41 0 |
107。| 235 45 35.6 0 |
108。| 115 71 44.9 0 |
109。| 134 78 39.7 0 |
110。| 369 73 39.2 0 |
| ------------------------------ |
111。| 967 81 34。
8 0 |
112。| 184 89 39.7 0 |
113。| 662 96 26.4 0 |
------------------------------ + +
。总和
变| OBS平均标准开发。最小最大
------------- +
--------------------------------------------------------
113 433.5434 448.6421 2.9 2272 | LDH
113 106.3265 100.756 21 775 | Cr
113 34.45221 6.624105 17.9 51.2 | ABL
MODS | 113. 2477876。4336509 0 1
。标签插件
MODS |频率成暨。
------------ + -----------------------------------
0 | 85 75.22 75.22
1 | 28 24.78 100
------------ + -----------------------------------
总| 113 100
。急性肾功能衰竭
迭代0:对数似然= -63.26774
迭代1:对数似然= -31.249401
迭代2:对数似然= -30.061031
迭代3:对数似然= -30.03929
迭代4:对数似然= -30.039258
迭代5:对数似然= -30.039258
OBS的logistic回归数,113
LRχ(3)= 66.4
问题>χ=
对数似然= -30.039258伪R2 = 0.5252
-----------------------------------------------------------
-------------------
MODS |系数。标准差。Z P,| Z | [ 95% ]设置间隔
------------- +
----------------------------------------------------------------
LDH |。0024992。001073 2.33 0.020 0046021 0003962。
铬|。0143511。0057272 2.51 0.012 0255761 0031261。
ABL | -。1858638。0647696 -2.87 0.004。3128099。0589177
_. | 2.24286 2.246818 0.318 -2.160823 6.646544?
------------------------------------------------------------------------------
. the logit.
logistic regression number of obs = 113
the chi square (2) = 66.46
prob > chi2 = 0.0000
the log likelihood is -30.039258 pseudo r2 = 0.5252
------------------------------------------------------------------------------
mods | odds ratio std. err. z z z z z z z | (95%) | conf. interval)
----------------- +
-----------------------------------------
ldh | 1.002502 0.020 1.000396 1.004613.0010756 2.33.
vc | 1.014455.0058099 2.51 0.012 1.003131 1.025906
|.8303867 abl.0537838.731389.9427843 -2.87 0.004
_. | 9.420238 21.16557 0.318.1152303 770.118?
------------------------------------------------------------------------------
. lroc
logistic model for mods
a number of observations.
area under roc curve = 0.9273
. lsens
. lfit, g (10)
logistic model for mods, goodness of fit test.
table i the probability quantiles of fact)
a number of observations.
number of groups 10
hosmer lemeshow chi2 = 5.93 (8)
0.6549 prob > chi2 =
. pre ss
(optional) assumed, pr (mods)
. roccomp mods, cr ldh abl
roc asymptotic normal.
obs area std. err. [95% conf. interval)
-----------------------------------------------------------
--------------
0.9273 0.0268 0.87485 0.97977 ss.
ldh (0.9034 0.
0285 0.84752 0.95921
CR 113 0.7998 0.0633 0.67580 0.92378
ABL 113 0.1483 0.0444 0.06136 0.23528
-----------------------------------------------------------
--------------
区域(SS)=区域(LDH)=区域(CR)=区域(ABL)
χ(3)= 189.39 = 0 > 21问
。rocgold MODS SS LDH Cr ABL
-------------------------------------------------------------------------------
ROC Bonferroni
面积标准差。Chi2 DF公关> Chi2 PR > 21
-------------------------------------------------------------------------------
SS(标准)0.9273 0.0268
乳酸脱氢酶0.9034,0.0285,0.6873,1,0.4071,1
CR 0.7998 0.0633 4.9712 1 0.0258 0.0773
ABL 0.1483 0.0444 135.4836 1 0 0
-------------------------------------------------------------------------------
。roccomp MODS SS LDH Cr ABL,G
。检测LDH,由(MODS)
方差相等的两样本t检验
------------------------------------------------------------------------------
集团| OBS均值标准差。Std. Dev. [ 95% ]设置间隔
--------- +
--------------------------------------------------------------------
0 85 282.4729 22.79759 210.1834 237.1374 327.8085 |
1 28 892.15 120.6442 638.3891 644.6085 1139.691 |
--------- +
--------------------------------------------------------------------
结合113 433.5434 42.2047 448.6421 349.9202 517.1666 |
--------- +
--------------------------------------------------------------------
不同的| -609.6771 79.33441 -766.8835 -452.4706
------------------------------------------------------------------------------
差异=平均(0)均值(1)T = -7.6849
差= 0自由度= 111
哈:差异0~= 0公顷:差异> 0
PR(t,t)= 0,PR(| T | > | T |)= 0 PR(T,t)= 1
。sktest LDH
偏度/峰度检验
-------联合------
变| OBS PR(偏斜度)PR(峰度)的χ(2)问题> 2
------------- +
-----------------------------------------------------------
----
113 0 0 52.62 0 | LDH
。秩和LDH,用(MODS)
两样本比较的秩和检验(Mann Whitney)
MODS | OBS秩和预期
------------- + ---------------------------------
0 | 85 3885 4845
1 | 28 2556 1596
------------- + ---------------------------------
联合| 113 6441 6441
未经调整的方差为22610
领带-1.13调整
----------
调整后的方差为22608.87
病人:乳酸脱氢酶(MODS = 0)=乳酸脱氢酶(MODS = 1)
Z = -6.385
问题> | Z | = 0
。
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