我有一个看起来像这样的数据帧:
ID Covid_pos Asymptomatic Fever Cough ...
0 1 0 1 0
1 0 0 0 1
2 1 1 0 1
3 1 0 1 0
4 0 1 1 0
5 1 0 1 0
6 0 1 1 0
7 1 0 0 1
8 0 0 0 0
9 0 0 0 0
我编写了一个for循环,它为每个症状变量和结果变量“COVID_POS”生成以下输出
exposure=['Cough',"Nasal_Congestion","Wheezing_Asthma","Abdominal_Pain","Diarrhea","Vomiting","Rash","Fever","MED_ALERT_CPR_SHOCK_SEPSIS","Lymph_Node_Neck","Ear","Mouth Sores","Eye","SOB_WOB_Hyp_Desat","PNA","Nausea","Weak_Fatigue","Bodyaches","Dizziness","Fussy","Poor_PO_Dehydration","Tachycardia","COVID Exposure","COVID Test","COVID PUI" ,"COVID MIS","COVID Kawasaki","CP","ST","HA","Loss_Taste_Smell"]
for symptom in exposure:
CTab=pd.crosstab(LABS_TAT[symptom],LABS_TAT.Covid_pos)
Odds = sm.stats.Table2x2(CTab)
print(Odds.summary())
OUTPUT:
问题陈述:输出是正确的,但我想重新格式化它,使其看起来像下表:
Symptom Odds Ratio LCB UCB
Cough 2.607 1.981 3.430
Nasal_Congestion 1.899 1.226 2.941
Wheezing_Asthma 0.739 0.373 1.46
...
从the source可以看出,摘要的第一行是由
oddsratio_confint
、oddsratio_pvalue
方法和oddsratio
属性构成的。构造一个字典以转换为数据帧相关问题 更多 >
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