如何解决Logit二进制测试解释
是否有可能在 Logit 中某个二进制变量的值是 1 但不是 0？我很困惑我应该如何解释它：我应该分别用这些值估计模型吗？ 如何使用变量 ex 的常数值估计 logit。吸烟 =1？
现在看起来像这样：
logit death_event anaemia creatinine_phosphokinase diabetes ejection_fraction high_blood_pressure platelets serum_creatinine serum_sodium sex smoking time
Logistic regression Number of obs = 299
LR chi2(12) = 155.79
Prob > chi2 = 0.0000
Log likelihood = -109.77707 Pseudo R2 = 0.4151
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death_event | Odds Ratio Std. Err. z P>|z| [95% Conf. Interval]
-------------------------+----------------------------------------------------------------
age | 1.048561 .0165679 3.00 0.003 1.016586 1.081542
anaemia | .9925574 .3578061 -0.02 0.983 .4896737 2.011891
creatinine_phosphokinase | 1.000222 .000178 1.25 0.212 .9998735 1.000571
diabetes | 1.156213 .4060488 0.41 0.679 .5809054 2.301283
ejection_fraction | .9262024 .0151241 -4.69 0.000 .8970291 .9563245
high_blood_pressure | .9024162 .3237029 -0.29 0.775 .4467608 1.822799
platelets | .9999988 1.89e-06 -0.64 0.525 .9999951 1.000003
serum_creatinine | 1.946618 .3532967 3.67 0.000 1.363936 2.778225
serum_sodium | .9352129 .0371608 -1.69 0.092 .865143 1.010958
sex | .5864558 .2427446 -1.29 0.197 .2605599 1.319967
smoking | .9865984 .4070881 -0.03 0.974 .4394601 2.214937
time | .9791753 .0029516 -6.98 0.000 .9734073 .9849775
_cons | 26500.77 149903.5 1.80 0.072 .4058606 1.73e+09
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. test smoking = 1
( 1) [death_event]smoking = 1
chi2( 1) = 6.03
Prob > chi2 = 0.0140
. test smoking = 0
( 1) [death_event]smoking = 0
chi2( 1) = 0.00
Prob > chi2 = 0.9739
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