lixiaoyan
我用LOGISTIC后退法作出的结果如下:但不懂如何解释!
Variables not in the Equation
Score df Sig.
Step 0 Variables 性别(1) 10.051 1 .002
胎龄 23.511 1 .000
出生体重 16.424 1 .000
APGAR 4.522 1 .033
肛温 15.922 1 .000
单纯代酸 2.132 1 .144
单纯呼酸 1.087 1 .297
混合性 54.167 1 .000
窒息 6.945 1 .008
高胆 35.165 1 .000
HMD 16.044 1 .000
HIE 35.498 1 .000
颅内出血 4.678 1 .031
肺炎 51.221 1 .000
寒冷损伤 1.454 1 .228
先心 .116 1 .733
妊高征 4.735 1 .030
糖尿病 1.020 1 .312
母乳喂养 1.229 1 .268
胎膜早破 3.907 1 .048
自然分娩 1.454 1 .228
Overall Statistics 137.188 21 .000
Block 1: Method = Backward Stepwise (Wald)
Variables not in the Equation
Score df Sig.
Step 2 Variables 自然分娩 .071 1 .790
Overall Statistics .071 1 .790
Step 3 Variables 糖尿病 .163 1 .687
自然分娩 .077 1 .782
Overall Statistics .232 2 .890
Step 4 Variables 糖尿病 .198 1 .656
胎膜早破 .230 1 .632
自然分娩 .003 1 .958
Overall Statistics .441 3 .932
Step 5 Variables 妊高征 .455 1 .500
糖尿病 .257 1 .612
胎膜早破 .001 1 .978
自然分娩 .000 1 .984
Overall Statistics .944 4 .918
Step 6 Variables HMD 1.030 1 .310
妊高征 .613 1 .434
糖尿病 .240 1 .624
胎膜早破 .037 1 .848
自然分娩 .018 1 .892
Overall Statistics 1.798 5 .876
Step 7 Variables HMD .515 1 .473
颅内出血 .532 1 .466
妊高征 .640 1 .424
糖尿病 .256 1 .613
胎膜早破 .023 1 .881
自然分娩 .034 1 .853
Overall Statistics 2.325 6 .887
Step 8 Variables 单纯呼酸 .617 1 .432
HMD .175 1 .675
颅内出血 .137 1 .711
妊高征 .946 1 .331
糖尿病 .212 1 .645
胎膜早破 .024 1 .876
自然分娩 .000 1 .990
Overall Statistics 2.874 7 .896
Step 9 Variables 单纯呼酸 .478 1 .489
HMD .094 1 .759
颅内出血 .117 1 .732
先心 1.150 1 .284
妊高征 .556 1 .456
糖尿病 .259 1 .611
胎膜早破 .008 1 .927
自然分娩 .016 1 .899
Overall Statistics 4.222 8 .837
Step 10 Variables 单纯呼酸 .553 1 .457
HMD .008 1 .928
颅内出血 .142 1 .706
寒冷损伤 .555 1 .456
先心 .219 1 .640
妊高征 .461 1 .497
糖尿病 .240 1 .624
胎膜早破 .003 1 .960
自然分娩 .019 1 .891
Overall Statistics 4.797 9 .852
Step 11 Variables 单纯呼酸 .419 1 .517
HMD .001 1 .970
颅内出血 .076 1 .783
寒冷损伤 .772 1 .380
先心 .099 1 .753
妊高征 .243 1 .622
糖尿病 .205 1 .651
母乳喂养 1.256 1 .262
胎膜早破 .007 1 .933
自然分娩 .446 1 .504
Overall Statistics 5.980 10 .817
Step 12 Variables 肛温 1.946 1 .163
单纯呼酸 1.088 1 .297
HMD .003 1 .956
颅内出血 .198 1 .656
寒冷损伤 .446 1 .504
先心 .061 1 .805
妊高征 .463 1 .496
糖尿病 .138 1 .710
母乳喂养 .648 1 .421
胎膜早破 .049 1 .825
自然分娩 .452 1 .501
Overall Statistics 7.583 11 .750
a Variable(s) removed on step 2: 自然分娩.
b Variable(s) removed on step 3: 糖尿病.
c Variable(s) removed on step 4: 胎膜早破.
d Variable(s) removed on step 5: 妊高征.
e Variable(s) removed on step 6: HMD.
f Variable(s) removed on step 7: 颅内出血.
g Variable(s) removed on step 8: 单纯呼酸.
h Variable(s) removed on step 9: 先心.
i Variable(s) removed on step 10: 寒冷损伤.
j Variable(s) removed on step 11: 母乳喂养.
k Variable(s) removed on step 12: 肛温.
lixiaoyan
我不知道用后退法还是前进法好,或者两个都用,这种复杂的统计都没有学过,现在好费力啊,研究了很长时间都不行,希望高手给予指点迷津!非常感谢!
TTG
不管用前进法,后退法,还是逐步的,所给出的都不足以确定最佳模型。不要被单纯数字迷惑,一定要结合专业知识,从可解释性,简约性,变量的易得性入手,才能有最佳模型。
lixiaoyan
还是不明白,你先给我解释一下然后我才能根据临床知识进一步的总结啊,现在是一团雾水呢!!
gaopan_0105
个人认为,做logistic回归,关键是建模,而楼主做出的结果看不出模型是什么,所以不好做出解释。
lixiaoyan
怎么看出模型呢?真的好多都不懂,正在写论文阶段,我都郁闷死了!